Overview

Dataset statistics

Number of variables150
Number of observations537436
Missing cells10333982
Missing cells (%)12.8%
Duplicate rows4786
Duplicate rows (%)0.9%
Total size in memory615.0 MiB
Average record size in memory1.2 KiB

Variable types

NUM76
CAT67
BOOL7

Warnings

NU_ANO has constant value "537436" Constant
TP_INSCRICAO has constant value "537436" Constant
NU_ITEM_OFG has constant value "537436" Constant
NU_ITEM_OFG_Z has constant value "537436" Constant
NU_ITEM_OFG_N has constant value "537436" Constant
NU_ITEM_OCE has constant value "537436" Constant
NU_ITEM_OCE_N has constant value "537436" Constant
DS_VT_GAB_OFG_ORIG has constant value "537436" Constant
Dataset has 4786 (0.9%) duplicate rows Duplicates
DS_VT_ESC_OFG has a high cardinality: 94126 distinct values High cardinality
DS_VT_ESC_OCE has a high cardinality: 448169 distinct values High cardinality
DS_VT_ACE_OCE has a high cardinality: 414152 distinct values High cardinality
NT_GER has a high cardinality: 929 distinct values High cardinality
NT_FG has a high cardinality: 912 distinct values High cardinality
NT_DIS_FG has a high cardinality: 195 distinct values High cardinality
NT_CE has a high cardinality: 938 distinct values High cardinality
NT_OBJ_CE has a high cardinality: 198 distinct values High cardinality
NT_DIS_CE has a high cardinality: 75 distinct values High cardinality
DS_VT_ESC_OFG has 87504 (16.3%) missing values Missing
DS_VT_ACE_OFG has 83971 (15.6%) missing values Missing
DS_VT_ESC_OCE has 87504 (16.3%) missing values Missing
DS_VT_ACE_OCE has 83971 (15.6%) missing values Missing
NT_GER has 87504 (16.3%) missing values Missing
NT_FG has 87504 (16.3%) missing values Missing
NT_OBJ_FG has 87504 (16.3%) missing values Missing
NT_DIS_FG has 87504 (16.3%) missing values Missing
NT_FG_D1 has 87504 (16.3%) missing values Missing
NT_FG_D1_PT has 87504 (16.3%) missing values Missing
NT_FG_D1_CT has 87504 (16.3%) missing values Missing
NT_FG_D2 has 87504 (16.3%) missing values Missing
NT_FG_D2_PT has 87504 (16.3%) missing values Missing
NT_FG_D2_CT has 87504 (16.3%) missing values Missing
NT_CE has 87504 (16.3%) missing values Missing
NT_OBJ_CE has 87504 (16.3%) missing values Missing
NT_DIS_CE has 87504 (16.3%) missing values Missing
NT_CE_D1 has 87504 (16.3%) missing values Missing
NT_CE_D2 has 87504 (16.3%) missing values Missing
NT_CE_D3 has 87504 (16.3%) missing values Missing
QE_I01 has 69780 (13.0%) missing values Missing
QE_I02 has 69780 (13.0%) missing values Missing
QE_I03 has 69780 (13.0%) missing values Missing
QE_I04 has 69780 (13.0%) missing values Missing
QE_I05 has 69780 (13.0%) missing values Missing
QE_I06 has 69780 (13.0%) missing values Missing
QE_I07 has 69780 (13.0%) missing values Missing
QE_I08 has 69780 (13.0%) missing values Missing
QE_I09 has 69780 (13.0%) missing values Missing
QE_I10 has 69780 (13.0%) missing values Missing
QE_I11 has 69780 (13.0%) missing values Missing
QE_I12 has 69780 (13.0%) missing values Missing
QE_I13 has 69780 (13.0%) missing values Missing
QE_I14 has 69780 (13.0%) missing values Missing
QE_I15 has 69780 (13.0%) missing values Missing
QE_I16 has 69780 (13.0%) missing values Missing
QE_I17 has 69780 (13.0%) missing values Missing
QE_I18 has 69780 (13.0%) missing values Missing
QE_I19 has 69780 (13.0%) missing values Missing
QE_I20 has 69780 (13.0%) missing values Missing
QE_I21 has 69780 (13.0%) missing values Missing
QE_I22 has 69780 (13.0%) missing values Missing
QE_I23 has 69780 (13.0%) missing values Missing
QE_I24 has 69780 (13.0%) missing values Missing
QE_I25 has 69780 (13.0%) missing values Missing
QE_I26 has 69780 (13.0%) missing values Missing
QE_I27 has 69780 (13.0%) missing values Missing
QE_I28 has 69780 (13.0%) missing values Missing
QE_I29 has 69780 (13.0%) missing values Missing
QE_I30 has 69780 (13.0%) missing values Missing
QE_I31 has 69780 (13.0%) missing values Missing
QE_I32 has 69780 (13.0%) missing values Missing
QE_I33 has 69780 (13.0%) missing values Missing
QE_I34 has 69780 (13.0%) missing values Missing
QE_I35 has 69780 (13.0%) missing values Missing
QE_I36 has 69780 (13.0%) missing values Missing
QE_I37 has 69780 (13.0%) missing values Missing
QE_I38 has 69780 (13.0%) missing values Missing
QE_I39 has 69780 (13.0%) missing values Missing
QE_I40 has 69780 (13.0%) missing values Missing
QE_I41 has 69780 (13.0%) missing values Missing
QE_I42 has 69780 (13.0%) missing values Missing
QE_I43 has 69780 (13.0%) missing values Missing
QE_I44 has 69780 (13.0%) missing values Missing
QE_I45 has 69780 (13.0%) missing values Missing
QE_I46 has 69780 (13.0%) missing values Missing
QE_I47 has 69780 (13.0%) missing values Missing
QE_I48 has 69780 (13.0%) missing values Missing
QE_I49 has 69780 (13.0%) missing values Missing
QE_I50 has 69780 (13.0%) missing values Missing
QE_I51 has 69780 (13.0%) missing values Missing
QE_I52 has 69780 (13.0%) missing values Missing
QE_I53 has 69780 (13.0%) missing values Missing
QE_I54 has 69780 (13.0%) missing values Missing
QE_I55 has 69780 (13.0%) missing values Missing
QE_I56 has 69780 (13.0%) missing values Missing
QE_I57 has 69780 (13.0%) missing values Missing
QE_I58 has 69780 (13.0%) missing values Missing
QE_I59 has 69780 (13.0%) missing values Missing
QE_I60 has 69780 (13.0%) missing values Missing
QE_I61 has 69780 (13.0%) missing values Missing
QE_I62 has 69780 (13.0%) missing values Missing
QE_I63 has 69780 (13.0%) missing values Missing
QE_I64 has 69780 (13.0%) missing values Missing
QE_I65 has 69780 (13.0%) missing values Missing
QE_I66 has 69780 (13.0%) missing values Missing
QE_I67 has 69780 (13.0%) missing values Missing
QE_I68 has 69780 (13.0%) missing values Missing
QE_I69 has 295777 (55.0%) missing values Missing
QE_I70 has 295777 (55.0%) missing values Missing
QE_I71 has 295777 (55.0%) missing values Missing
QE_I72 has 295777 (55.0%) missing values Missing
QE_I73 has 295777 (55.0%) missing values Missing
QE_I74 has 295777 (55.0%) missing values Missing
QE_I75 has 295777 (55.0%) missing values Missing
QE_I76 has 295777 (55.0%) missing values Missing
QE_I77 has 295777 (55.0%) missing values Missing
QE_I78 has 295777 (55.0%) missing values Missing
QE_I79 has 295777 (55.0%) missing values Missing
QE_I80 has 295777 (55.0%) missing values Missing
QE_I81 has 295777 (55.0%) missing values Missing
DS_VT_ACE_OFG has 7971 (1.5%) zeros Zeros
NT_FG_D1 has 49985 (9.3%) zeros Zeros
NT_FG_D1_PT has 45920 (8.5%) zeros Zeros
NT_FG_D1_CT has 55170 (10.3%) zeros Zeros
NT_FG_D2 has 67817 (12.6%) zeros Zeros
NT_FG_D2_PT has 63297 (11.8%) zeros Zeros
NT_FG_D2_CT has 84489 (15.7%) zeros Zeros
NT_CE_D1 has 160970 (30.0%) zeros Zeros
NT_CE_D2 has 186865 (34.8%) zeros Zeros
NT_CE_D3 has 202002 (37.6%) zeros Zeros

Reproduction

Analysis started2020-09-29 22:01:32.678537
Analysis finished2020-09-29 22:02:09.498560
Duration36.82 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

NU_ANO
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
2017
537436 
ValueCountFrequency (%) 
2017537436100.0%
 
2020-09-29T19:02:09.692890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_IES
Real number (ℝ≥0)

Distinct1478
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1385.499157
Minimum1
Maximum19739
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:09.924586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17
Q1322
median583
Q31472
95-th percentile4849
Maximum19739
Range19738
Interquartile range (IQR)1150

Descriptive statistics

Standard deviation2504.935866
Coefficient of variation (CV)1.807966359
Kurtosis22.85498524
Mean1385.499157
Median Absolute Deviation (MAD)440
Skewness4.493110722
Sum744617125
Variance6274703.694
MonotocityNot monotonic
2020-09-29T19:02:10.172055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1491176933.3%
 
322171813.2%
 
1472134192.5%
 
298131392.4%
 
163110062.0%
 
56982291.5%
 
31675091.4%
 
5660641.1%
 
95358751.1%
 
67157941.1%
 
Other values (1468)43152780.3%
 
ValueCountFrequency (%) 
112950.2%
 
230370.6%
 
318600.3%
 
417790.3%
 
538770.7%
 
ValueCountFrequency (%) 
1973924< 0.1%
 
1957854< 0.1%
 
1951238< 0.1%
 
1887418< 0.1%
 
18759217< 0.1%
 

CO_CATEGAD
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.345376938
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:10.457062image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.56735268
Coefficient of variation (CV)0.4685130282
Kurtosis-1.301488746
Mean3.345376938
Median Absolute Deviation (MAD)1
Skewness-0.4546093197
Sum1797926
Variance2.456594423
MonotocityNot monotonic
2020-09-29T19:02:10.658422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
419298135.9%
 
514880327.7%
 
112522323.3%
 
26267511.7%
 
357161.1%
 
720380.4%
 
ValueCountFrequency (%) 
112522323.3%
 
26267511.7%
 
357161.1%
 
419298135.9%
 
514880327.7%
 
ValueCountFrequency (%) 
720380.4%
 
514880327.7%
 
419298135.9%
 
357161.1%
 
26267511.7%
 

CO_ORGACAD
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10025.23158
Minimum10019
Maximum10028
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:10.858032image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10019
5-th percentile10020
Q110022
median10028
Q310028
95-th percentile10028
Maximum10028
Range9
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.484123954
Coefficient of variation (CV)0.0003475355086
Kurtosis-1.550426577
Mean10025.23158
Median Absolute Deviation (MAD)0
Skewness-0.5602876976
Sum5387920357
Variance12.13911973
MonotocityNot monotonic
2020-09-29T19:02:11.043020image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
1002831785759.1%
 
1002011197820.8%
 
100229159017.0%
 
10026145162.7%
 
1001914950.3%
 
ValueCountFrequency (%) 
1001914950.3%
 
1002011197820.8%
 
100229159017.0%
 
10026145162.7%
 
1002831785759.1%
 
ValueCountFrequency (%) 
1002831785759.1%
 
10026145162.7%
 
100229159017.0%
 
1002011197820.8%
 
1001914950.3%
 

CO_GRUPO
Real number (ℝ≥0)

Distinct44
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3192.639719
Minimum21
Maximum6409
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:11.243160image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile21
Q12001
median2402
Q35710
95-th percentile6306
Maximum6409
Range6388
Interquartile range (IQR)3709

Descriptive statistics

Standard deviation2044.616513
Coefficient of variation (CV)0.6404156725
Kurtosis-1.295851188
Mean3192.639719
Median Absolute Deviation (MAD)1498
Skewness0.239074508
Sum1715839520
Variance4180456.684
MonotocityNot monotonic
2020-09-29T19:02:11.474667image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%) 
200113275424.7%
 
5710527989.8%
 
3502347636.5%
 
21270265.0%
 
6208257144.8%
 
2402185313.4%
 
5902184223.4%
 
1602173813.2%
 
5806163703.0%
 
904156132.9%
 
Other values (34)17806433.1%
 
ValueCountFrequency (%) 
21270265.0%
 
72125382.3%
 
7621050.4%
 
7933420.6%
 
7015580.1%
 
ValueCountFrequency (%) 
640945660.8%
 
640731170.6%
 
640522620.4%
 
630788261.6%
 
630686991.6%
 

CO_CURSO
Real number (ℝ≥0)

Distinct10571
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean374871.9435
Minimum3
Maximum5001385
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:11.712701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5483
Q134476
median97507
Q3311303
95-th percentile1259062
Maximum5001385
Range5001382
Interquartile range (IQR)276827

Descriptive statistics

Standard deviation685490.8382
Coefficient of variation (CV)1.828600006
Kurtosis22.19653264
Mean374871.9435
Median Absolute Deviation (MAD)68011
Skewness3.948340161
Sum2.014696778e+11
Variance4.698976893e+11
MonotocityNot monotonic
2020-09-29T19:02:11.960046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
98892134272.5%
 
8938097871.8%
 
10228073431.4%
 
10030550440.9%
 
8728041720.8%
 
9665531650.6%
 
126802323060.4%
 
7937717790.3%
 
11000017290.3%
 
130012215040.3%
 
Other values (10561)48718090.6%
 
ValueCountFrequency (%) 
340< 0.1%
 
660< 0.1%
 
1045< 0.1%
 
1648< 0.1%
 
1929< 0.1%
 
ValueCountFrequency (%) 
500138533< 0.1%
 
500132824< 0.1%
 
500130272< 0.1%
 
50012856< 0.1%
 
50012842< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
1
422822 
0
114614 
ValueCountFrequency (%) 
142282278.7%
 
011461421.3%
 

CO_MUNIC_CURSO
Real number (ℝ≥0)

Distinct837
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3401669.435
Minimum1100023
Maximum5300108
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:12.196886image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1100023
5-th percentile1502400
Q13106200
median3509502
Q34106902
95-th percentile5103403
Maximum5300108
Range4200085
Interquartile range (IQR)1000702

Descriptive statistics

Standard deviation887485.5845
Coefficient of variation (CV)0.2608970688
Kurtosis0.3182613424
Mean3401669.435
Median Absolute Deviation (MAD)595306
Skewness-0.2565975084
Sum1.828179614e+12
Variance7.876306627e+11
MonotocityNot monotonic
2020-09-29T19:02:12.414775image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3550308454408.5%
 
3304557282785.3%
 
4106902262204.9%
 
3106200149362.8%
 
4113700148122.8%
 
4207502134192.5%
 
2611606102881.9%
 
530010897491.8%
 
354850085741.6%
 
130260385141.6%
 
Other values (827)35720666.5%
 
ValueCountFrequency (%) 
1100023162< 0.1%
 
11000493110.1%
 
110006461< 0.1%
 
1100106126< 0.1%
 
110011432< 0.1%
 
ValueCountFrequency (%) 
530010897491.8%
 
522185896< 0.1%
 
522180977< 0.1%
 
5221601183< 0.1%
 
522140365< 0.1%
 

CO_UF_CURSO
Real number (ℝ≥0)

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.83609211
Minimum11
Maximum53
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:12.630915image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15
Q131
median35
Q341
95-th percentile51
Maximum53
Range42
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.867266819
Coefficient of variation (CV)0.2620653351
Kurtosis0.3093317155
Mean33.83609211
Median Absolute Deviation (MAD)6
Skewness-0.2173793967
Sum18184734
Variance78.62842084
MonotocityNot monotonic
2020-09-29T19:02:12.831276image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
3513724925.5%
 
415906911.0%
 
315569910.4%
 
33504849.4%
 
42295675.5%
 
43241534.5%
 
29190903.6%
 
26169273.1%
 
15145832.7%
 
23144332.7%
 
Other values (17)11618221.6%
 
ValueCountFrequency (%) 
1130440.6%
 
1217850.3%
 
1399541.9%
 
1410010.2%
 
15145832.7%
 
ValueCountFrequency (%) 
5397491.8%
 
52130992.4%
 
5156051.0%
 
50116402.2%
 
43241534.5%
 

CO_REGIAO_CURSO
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.042857196
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:13.031720image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.981308536
Coefficient of variation (CV)0.3224957574
Kurtosis-0.08758909823
Mean3.042857196
Median Absolute Deviation (MAD)1
Skewness-0.05757373795
Sum1635341
Variance0.9629664428
MonotocityNot monotonic
2020-09-29T19:02:13.241310image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
325232046.9%
 
411278921.0%
 
29452617.6%
 
5400937.5%
 
1377087.0%
 
ValueCountFrequency (%) 
1377087.0%
 
29452617.6%
 
325232046.9%
 
411278921.0%
 
5400937.5%
 
ValueCountFrequency (%) 
5400937.5%
 
411278921.0%
 
325232046.9%
 
29452617.6%
 
1377087.0%
 

NU_IDADE
Real number (ℝ≥0)

Distinct73
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.22613483
Minimum10
Maximum95
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:13.448474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile21
Q123
median26
Q333
95-th percentile46
Maximum95
Range85
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.169930205
Coefficient of variation (CV)0.2795419323
Kurtosis1.855152065
Mean29.22613483
Median Absolute Deviation (MAD)4
Skewness1.410261027
Sum15707177
Variance66.74775955
MonotocityNot monotonic
2020-09-29T19:02:13.789412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
235619910.5%
 
225527410.3%
 
24488929.1%
 
25391047.3%
 
26323746.0%
 
21297245.5%
 
27261514.9%
 
28232324.3%
 
29203923.8%
 
30178103.3%
 
Other values (63)18828435.0%
 
ValueCountFrequency (%) 
101< 0.1%
 
161< 0.1%
 
172< 0.1%
 
1843< 0.1%
 
1911190.2%
 
ValueCountFrequency (%) 
951< 0.1%
 
901< 0.1%
 
871< 0.1%
 
851< 0.1%
 
841< 0.1%
 

TP_SEXO
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
F
292107 
M
245329 
ValueCountFrequency (%) 
F29210754.4%
 
M24532945.6%
 
2020-09-29T19:02:14.002990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ANO_FIM_EM
Real number (ℝ≥0)

Distinct61
Distinct (%)< 0.1%
Missing71
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2007.111286
Minimum1957
Maximum2017
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:14.219256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1957
5-th percentile1994
Q12004
median2009
Q32012
95-th percentile2013
Maximum2017
Range60
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.397587971
Coefficient of variation (CV)0.003187460515
Kurtosis3.689114874
Mean2007.111286
Median Absolute Deviation (MAD)3
Skewness-1.73261015
Sum1078551356
Variance40.92913185
MonotocityNot monotonic
2020-09-29T19:02:14.450851image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20127692314.3%
 
20116328611.8%
 
20105520210.3%
 
2013456398.5%
 
2009403317.5%
 
2008321956.0%
 
2007255834.8%
 
2006218644.1%
 
2005197173.7%
 
2014174333.2%
 
Other values (51)13919225.9%
 
ValueCountFrequency (%) 
19572< 0.1%
 
19582< 0.1%
 
19592< 0.1%
 
19601< 0.1%
 
19611< 0.1%
 
ValueCountFrequency (%) 
201714< 0.1%
 
20167340.1%
 
201520880.4%
 
2014174333.2%
 
2013456398.5%
 

ANO_IN_GRAD
Real number (ℝ≥0)

Distinct40
Distinct (%)< 0.1%
Missing71
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2013.110184
Minimum1976
Maximum2017
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:14.682557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1976
5-th percentile2010
Q12012
median2013
Q32014
95-th percentile2016
Maximum2017
Range41
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.962369161
Coefficient of variation (CV)0.0009747947116
Kurtosis9.725971592
Mean2013.110184
Median Absolute Deviation (MAD)1
Skewness-1.709445755
Sum1081774954
Variance3.850892725
MonotocityNot monotonic
2020-09-29T19:02:14.905257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%) 
201414129926.3%
 
201313908425.9%
 
20157330813.6%
 
20127099613.2%
 
2011379487.1%
 
2010198203.7%
 
2016180173.4%
 
2017134812.5%
 
2009101871.9%
 
200853561.0%
 
Other values (30)78691.5%
 
ValueCountFrequency (%) 
19761< 0.1%
 
19781< 0.1%
 
19801< 0.1%
 
19812< 0.1%
 
19824< 0.1%
 
ValueCountFrequency (%) 
2017134812.5%
 
2016180173.4%
 
20157330813.6%
 
201414129926.3%
 
201313908425.9%
 
Distinct4
Distinct (%)< 0.1%
Missing465
Missing (%)0.1%
Memory size4.1 MiB
4
336976 
3
101530 
1
75337 
2
 
23128
ValueCountFrequency (%) 
433697662.7%
 
310153018.9%
 
17533714.0%
 
2231284.3%
 
(Missing)4650.1%
 
2020-09-29T19:02:15.121460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
0
537365 
1
 
71
ValueCountFrequency (%) 
0537365> 99.9%
 
171< 0.1%
 

TP_INSCRICAO
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
1
537436 
ValueCountFrequency (%) 
1537436100.0%
 

NU_ITEM_OFG
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
8
537436 
ValueCountFrequency (%) 
8537436100.0%
 
2020-09-29T19:02:15.337019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

NU_ITEM_OFG_Z
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
0
537436 
ValueCountFrequency (%) 
0537436100.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
0
401780 
1
135656 
ValueCountFrequency (%) 
040178074.8%
 
113565625.2%
 

NU_ITEM_OFG_N
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
0
537436 
ValueCountFrequency (%) 
0537436100.0%
 

NU_ITEM_OCE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
27
537436 
ValueCountFrequency (%) 
27537436100.0%
 
2020-09-29T19:02:15.537537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

NU_ITEM_OCE_Z
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
0
402731 
1
128972 
2
 
5733
ValueCountFrequency (%) 
040273174.9%
 
112897224.0%
 
257331.1%
 
2020-09-29T19:02:15.765528image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

NU_ITEM_OCE_X
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.54110629
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:15.975003image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median4
Q35
95-th percentile8
Maximum11
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.617427716
Coefficient of variation (CV)0.3561748202
Kurtosis1.380857389
Mean4.54110629
Median Absolute Deviation (MAD)1
Skewness1.252204206
Sum2440554
Variance2.616072418
MonotocityNot monotonic
2020-09-29T19:02:16.154834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
426865150.0%
 
38159615.2%
 
56356511.8%
 
8527989.8%
 
6361636.7%
 
2167003.1%
 
972551.3%
 
755871.0%
 
130160.6%
 
1121050.4%
 
ValueCountFrequency (%) 
130160.6%
 
2167003.1%
 
38159615.2%
 
426865150.0%
 
56356511.8%
 
ValueCountFrequency (%) 
1121050.4%
 
972551.3%
 
8527989.8%
 
755871.0%
 
6361636.7%
 

NU_ITEM_OCE_N
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
0
537436 
ValueCountFrequency (%) 
0537436100.0%
 

DS_VT_GAB_OFG_ORIG
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
CCBBCEAD
537436 
ValueCountFrequency (%) 
CCBBCEAD537436100.0%
 
2020-09-29T19:02:16.355063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
CCBBCEAD
401780 
XCBBCEAD
135656 
ValueCountFrequency (%) 
CCBBCEAD40178074.8%
 
XCBBCEAD13565625.2%
 
2020-09-29T19:02:16.570857image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct44
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
EAADDACDEBBAACDDDBBCAEADCBB
132754 
EDCAEABCDBDDDCBCBBEADDCBEDB
52798 
DBBCBDCZBADABEEAAECDEDEAADD
34763 
EDAECDDCDEADECBAEADBCEEBEAB
27026 
EDCAEABCDBDCADEDDECEBABCABZ
 
25714
Other values (39)
264381 
ValueCountFrequency (%) 
EAADDACDEBBAACDDDBBCAEADCBB13275424.7%
 
EDCAEABCDBDDDCBCBBEADDCBEDB527989.8%
 
DBBCBDCZBADABEEAAECDEDEAADD347636.5%
 
EDAECDDCDEADECBAEADBCEEBEAB270265.0%
 
EDCAEABCDBDCADEDDECEBABCABZ257144.8%
 
DBDACADAEBCEEACECBAECDEAADD185313.4%
 
EDCAEABCDBADCCACCBBEAEBEZDD184223.4%
 
ABDEBBEADCCDECCBCAEAEEEAADD173813.2%
 
EDCAEABCDBCADEEBBDDAAECBDCC163703.0%
 
DBDCCADACCEBDBAADDBBCEEAADD156132.9%
 
Other values (34)17806433.1%
 
2020-09-29T19:02:16.809033image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct44
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
EAADDAXDEBBAXXDDDBBCAEADCBX
132754 
EDXXEABCXBXDDCXCXBEADXCBEXB
52798 
DBBCBDCZBADABEXAXEXDEDEAADD
34763 
EDXECDDCDEAXEXBAEADBCEEXEAB
27026 
EDXXEABCXBDCADEXDECEBABCABZ
 
25714
Other values (39)
264381 
ValueCountFrequency (%) 
EAADDAXDEBBAXXDDDBBCAEADCBX13275424.7%
 
EDXXEABCXBXDDCXCXBEADXCBEXB527989.8%
 
DBBCBDCZBADABEXAXEXDEDEAADD347636.5%
 
EDXECDDCDEAXEXBAEADBCEEXEAB270265.0%
 
EDXXEABCXBDCADEXDECEBABCABZ257144.8%
 
DBDAXADAEBCEEAXECBAECXEAADD185313.4%
 
EDXAEABCXBADCCACCBXEAXBEZDD184223.4%
 
ABDEBBEXDXCDECCXXAEAEXEAADD173813.2%
 
XDXAEABCXBCXDEEBBDDAAECXDCC163703.0%
 
XBXCXAXACCEBDBAADDBBCEEAADD156132.9%
 
Other values (34)17806433.1%
 
2020-09-29T19:02:17.071475image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

DS_VT_ESC_OFG
Categorical

HIGH CARDINALITY
MISSING

Distinct94126
Distinct (%)20.9%
Missing87504
Missing (%)16.3%
Memory size4.1 MiB
CCBBCEAD
 
6319
DCBBCEAD
 
2498
CCABCEAD
 
2171
BCBBCEAD
 
2164
CCBBCEDD
 
1868
Other values (94121)
434912 
ValueCountFrequency (%) 
CCBBCEAD63191.2%
 
DCBBCEAD24980.5%
 
CCABCEAD21710.4%
 
BCBBCEAD21640.4%
 
CCBBCEDD18680.3%
 
ACBBCEAD18390.3%
 
CCBBCEAE16420.3%
 
CCBBCEBD15770.3%
 
DCABCEAD12720.2%
 
BCABCEAD12560.2%
 
Other values (94116)42732679.5%
 
(Missing)8750416.3%
 
2020-09-29T19:02:17.723498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique55949 ?
Unique (%)12.4%

DS_VT_ACE_OFG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct384
Distinct (%)0.1%
Missing83971
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean25318887.43
Minimum0
Maximum91111111
Zeros7971
Zeros (%)1.5%
Memory size4.1 MiB
2020-09-29T19:02:17.950847image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1000
Q1111100
median1101111
Q390000000
95-th percentile91011100
Maximum91111111
Range91111111
Interquartile range (IQR)89888900

Descriptive statistics

Standard deviation38434571.4
Coefficient of variation (CV)1.518019759
Kurtosis-0.7770802727
Mean25318887.43
Median Absolute Deviation (MAD)1100010
Skewness1.086907147
Sum1.148122929e+13
Variance1.477216279e+15
MonotocityNot monotonic
2020-09-29T19:02:18.189034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1011101106332.0%
 
101110090771.7%
 
101111188421.6%
 
1110080031.5%
 
079711.5%
 
1110176811.4%
 
111111166761.2%
 
101010065381.2%
 
111110165131.2%
 
1010063231.2%
 
Other values (374)37520869.8%
 
(Missing)8397115.6%
 
ValueCountFrequency (%) 
079711.5%
 
118320.3%
 
1012340.2%
 
114680.1%
 
10051561.0%
 
ValueCountFrequency (%) 
911111119240.2%
 
911111105230.1%
 
9111110112330.2%
 
9111110011490.2%
 
9111101143< 0.1%
 

DS_VT_ESC_OCE
Categorical

HIGH CARDINALITY
MISSING

Distinct448169
Distinct (%)99.6%
Missing87504
Missing (%)16.3%
Memory size4.1 MiB
...........................
 
959
AAAAAAAAAAAAAAAAAAAAAAAAAAA
 
127
CCCCCCCCCCCCCCCCCCCCCCCCCCC
 
123
DDDDDDDDDDDDDDDDDDDDDDDDDDD
 
81
BBBBBBBBBBBBBBBBBBBBBBBBBBB
 
65
Other values (448164)
448577 
ValueCountFrequency (%) 
...........................9590.2%
 
AAAAAAAAAAAAAAAAAAAAAAAAAAA127< 0.1%
 
CCCCCCCCCCCCCCCCCCCCCCCCCCC123< 0.1%
 
DDDDDDDDDDDDDDDDDDDDDDDDDDD81< 0.1%
 
BBBBBBBBBBBBBBBBBBBBBBBBBBB65< 0.1%
 
ABCDEDCBABCDEDCBABCDEDCBABC46< 0.1%
 
EEEEEEEEEEEEEEEEEEEEEEEEEEE40< 0.1%
 
***************************35< 0.1%
 
AAAABBBBBBBBBBBBCCCCCCCCCCC13< 0.1%
 
DEABCDEABCDEABCDEABCDEABCDE12< 0.1%
 
Other values (448159)44843183.4%
 
(Missing)8750416.3%
 
2020-09-29T19:02:20.277405image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique447940 ?
Unique (%)99.6%

DS_VT_ACE_OCE
Categorical

HIGH CARDINALITY
MISSING

Distinct414152
Distinct (%)91.3%
Missing83971
Missing (%)15.6%
Memory size4.1 MiB
000000900000990000000000009
 
536
000000000000009000000000000
 
446
000000090900000990000900000
 
406
000000090900000990090000900
 
327
000090900000000900000000900
 
304
Other values (414147)
451446 
ValueCountFrequency (%) 
0000009000009900000000000095360.1%
 
0000000000000090000000000004460.1%
 
0000000909000009900009000004060.1%
 
0000000909000009900900009003270.1%
 
0000909000000009000000009003040.1%
 
0009000000000090000009900003030.1%
 
000900090000009000000000000258< 0.1%
 
000090000000009000000900000253< 0.1%
 
909090900000000000000000000206< 0.1%
 
000090900000000900000000000191< 0.1%
 
Other values (414142)45023583.8%
 
(Missing)8397115.6%
 
2020-09-29T19:02:22.197666image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique390488 ?
Unique (%)86.1%

TP_PRES
Real number (ℝ≥0)

Distinct8
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean503.2848453
Minimum222
Maximum999
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:22.413457image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum999
Range777
Interquartile range (IQR)0

Descriptive statistics

Standard deviation120.7044464
Coefficient of variation (CV)0.2398332624
Kurtosis1.663266235
Mean503.2848453
Median Absolute Deviation (MAD)0
Skewness-1.852600977
Sum270477858
Variance14569.56337
MonotocityNot monotonic
2020-09-29T19:02:22.614018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
55545006183.7%
 
2228267115.4%
 
44436370.7%
 
5565540.1%
 
8884090.1%
 
33452< 0.1%
 
99936< 0.1%
 
3335< 0.1%
 
(Missing)11< 0.1%
 
ValueCountFrequency (%) 
2228267115.4%
 
3335< 0.1%
 
33452< 0.1%
 
44436370.7%
 
55545006183.7%
 
ValueCountFrequency (%) 
99936< 0.1%
 
8884090.1%
 
5565540.1%
 
55545006183.7%
 
44436370.7%
 

TP_PR_GER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean501.5165558
Minimum222
Maximum888
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:22.807355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum888
Range666
Interquartile range (IQR)0

Descriptive statistics

Standard deviation122.8415646
Coefficient of variation (CV)0.2449401983
Kurtosis1.414053099
Mean501.5165558
Median Absolute Deviation (MAD)0
Skewness-1.802243216
Sum269527535
Variance15090.05
MonotocityNot monotonic
2020-09-29T19:02:22.983785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
55544952783.6%
 
2228631116.1%
 
3336240.1%
 
5565540.1%
 
8884090.1%
 
(Missing)11< 0.1%
 
ValueCountFrequency (%) 
2228631116.1%
 
3336240.1%
 
55544952783.6%
 
5565540.1%
 
8884090.1%
 
ValueCountFrequency (%) 
8884090.1%
 
5565540.1%
 
55544952783.6%
 
3336240.1%
 
2228631116.1%
 

TP_PR_OB_FG
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean501.333561
Minimum222
Maximum888
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:23.168768image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum888
Range666
Interquartile range (IQR)0

Descriptive statistics

Standard deviation122.9270801
Coefficient of variation (CV)0.2452001814
Kurtosis1.393955745
Mean501.333561
Median Absolute Deviation (MAD)0
Skewness-1.796210123
Sum269429189
Variance15111.06701
MonotocityNot monotonic
2020-09-29T19:02:23.370119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
55544908483.6%
 
2228631116.1%
 
33310670.2%
 
5565540.1%
 
8884090.1%
 
(Missing)11< 0.1%
 
ValueCountFrequency (%) 
2228631116.1%
 
33310670.2%
 
55544908483.6%
 
5565540.1%
 
8884090.1%
 
ValueCountFrequency (%) 
8884090.1%
 
5565540.1%
 
55544908483.6%
 
33310670.2%
 
2228631116.1%
 

TP_PR_DI_FG
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean487.470153
Minimum222
Maximum888
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:23.554095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum888
Range666
Interquartile range (IQR)0

Descriptive statistics

Standard deviation128.4856125
Coefficient of variation (CV)0.2635763681
Kurtosis0.1923814767
Mean487.470153
Median Absolute Deviation (MAD)0
Skewness-1.393057843
Sum261978647
Variance16508.55262
MonotocityNot monotonic
2020-09-29T19:02:23.739088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
55541552377.3%
 
2228631116.1%
 
333346286.4%
 
5565540.1%
 
8884090.1%
 
(Missing)11< 0.1%
 
ValueCountFrequency (%) 
2228631116.1%
 
333346286.4%
 
55541552377.3%
 
5565540.1%
 
8884090.1%
 
ValueCountFrequency (%) 
8884090.1%
 
5565540.1%
 
55541552377.3%
 
333346286.4%
 
2228631116.1%
 

TP_PR_OB_CE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean501.3633028
Minimum222
Maximum888
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:23.939748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum888
Range666
Interquartile range (IQR)0

Descriptive statistics

Standard deviation122.913204
Coefficient of variation (CV)0.2451579589
Kurtosis1.397212994
Mean501.3633028
Median Absolute Deviation (MAD)0
Skewness-1.797189167
Sum269445173
Variance15107.65571
MonotocityNot monotonic
2020-09-29T19:02:24.118097image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
55544915683.6%
 
2228631116.1%
 
3339950.2%
 
5565540.1%
 
8884090.1%
 
(Missing)11< 0.1%
 
ValueCountFrequency (%) 
2228631116.1%
 
3339950.2%
 
55544915683.6%
 
5565540.1%
 
8884090.1%
 
ValueCountFrequency (%) 
8884090.1%
 
5565540.1%
 
55544915683.6%
 
3339950.2%
 
2228631116.1%
 

TP_PR_DI_CE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean483.8519775
Minimum222
Maximum888
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:24.305993image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum888
Range666
Interquartile range (IQR)0

Descriptive statistics

Standard deviation129.6534893
Coefficient of variation (CV)0.267961061
Kurtosis-0.03945650024
Mean483.8519775
Median Absolute Deviation (MAD)0
Skewness-1.301875208
Sum260034149
Variance16810.02728
MonotocityNot monotonic
2020-09-29T19:02:24.503208image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
55540676475.7%
 
2228631116.1%
 
333433878.1%
 
5565540.1%
 
8884090.1%
 
(Missing)11< 0.1%
 
ValueCountFrequency (%) 
2228631116.1%
 
333433878.1%
 
55540676475.7%
 
5565540.1%
 
8884090.1%
 
ValueCountFrequency (%) 
8884090.1%
 
5565540.1%
 
55540676475.7%
 
333433878.1%
 
2228631116.1%
 

TP_SFG_D1
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean481.4172285
Minimum222
Maximum888
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:24.703769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1336
median555
Q3555
95-th percentile555
Maximum888
Range666
Interquartile range (IQR)219

Descriptive statistics

Standard deviation130.3454476
Coefficient of variation (CV)0.2707535999
Kurtosis-0.1795459093
Mean481.4172285
Median Absolute Deviation (MAD)0
Skewness-1.243146437
Sum258725654
Variance16989.93572
MonotocityNot monotonic
2020-09-29T19:02:25.019632image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
55540077974.6%
 
2228631116.1%
 
333424927.9%
 
33664151.2%
 
5565540.1%
 
3354650.1%
 
8884090.1%
 
(Missing)11< 0.1%
 
ValueCountFrequency (%) 
2228631116.1%
 
333424927.9%
 
3354650.1%
 
33664151.2%
 
55540077974.6%
 
ValueCountFrequency (%) 
8884090.1%
 
5565540.1%
 
55540077974.6%
 
33664151.2%
 
3354650.1%
 

TP_SFG_D2
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean474.3994548
Minimum222
Maximum888
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:25.220121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1333
median555
Q3555
95-th percentile555
Maximum888
Range666
Interquartile range (IQR)222

Descriptive statistics

Standard deviation132.157383
Coefficient of variation (CV)0.2785782775
Kurtosis-0.5309362167
Mean474.3994548
Median Absolute Deviation (MAD)0
Skewness-1.083460053
Sum254954127
Variance17465.57388
MonotocityNot monotonic
2020-09-29T19:02:25.426907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
55538378771.4%
 
2228631116.1%
 
3335917711.0%
 
33664981.2%
 
3356890.1%
 
5565540.1%
 
8884090.1%
 
(Missing)11< 0.1%
 
ValueCountFrequency (%) 
2228631116.1%
 
3335917711.0%
 
3356890.1%
 
33664981.2%
 
55538378771.4%
 
ValueCountFrequency (%) 
8884090.1%
 
5565540.1%
 
55538378771.4%
 
33664981.2%
 
3356890.1%
 

TP_SCE_D1
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean461.7569875
Minimum222
Maximum888
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:25.621130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1333
median555
Q3555
95-th percentile555
Maximum888
Range666
Interquartile range (IQR)222

Descriptive statistics

Standard deviation134.4074904
Coefficient of variation (CV)0.2910784116
Kurtosis-0.9944410568
Mean461.7569875
Median Absolute Deviation (MAD)0
Skewness-0.8247832776
Sum248159749
Variance18065.37349
MonotocityNot monotonic
2020-09-29T19:02:25.811323image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
55535308265.7%
 
2228631116.1%
 
3338259515.4%
 
336140562.6%
 
5565540.1%
 
3354180.1%
 
8884090.1%
 
(Missing)11< 0.1%
 
ValueCountFrequency (%) 
2228631116.1%
 
3338259515.4%
 
3354180.1%
 
336140562.6%
 
55535308265.7%
 
ValueCountFrequency (%) 
8884090.1%
 
5565540.1%
 
55535308265.7%
 
336140562.6%
 
3354180.1%
 

TP_SCE_D2
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean454.6678904
Minimum222
Maximum888
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:26.014555image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1333
median555
Q3555
95-th percentile555
Maximum888
Range666
Interquartile range (IQR)222

Descriptive statistics

Standard deviation135.1669119
Coefficient of variation (CV)0.2972871291
Kurtosis-1.181387914
Mean454.6678904
Median Absolute Deviation (MAD)0
Skewness-0.6917682865
Sum244349891
Variance18270.09406
MonotocityNot monotonic
2020-09-29T19:02:26.206996image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
55533595662.5%
 
33310234419.0%
 
2228631116.1%
 
336114162.1%
 
5565540.1%
 
3354350.1%
 
8884090.1%
 
(Missing)11< 0.1%
 
ValueCountFrequency (%) 
2228631116.1%
 
33310234419.0%
 
3354350.1%
 
336114162.1%
 
55533595662.5%
 
ValueCountFrequency (%) 
8884090.1%
 
5565540.1%
 
55533595662.5%
 
336114162.1%
 
3354350.1%
 

TP_SCE_D3
Real number (ℝ≥0)

Distinct8
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean454.0678271
Minimum222
Maximum888
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:26.407443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1333
median555
Q3555
95-th percentile555
Maximum888
Range666
Interquartile range (IQR)222

Descriptive statistics

Standard deviation135.6345597
Coefficient of variation (CV)0.2987099099
Kurtosis-1.200017256
Mean454.0678271
Median Absolute Deviation (MAD)0
Skewness-0.6667095995
Sum244027402
Variance18396.73379
MonotocityNot monotonic
2020-09-29T19:02:26.591810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
55533226061.8%
 
33311061520.6%
 
2228631116.1%
 
33652081.0%
 
66615510.3%
 
5565540.1%
 
3355170.1%
 
8884090.1%
 
(Missing)11< 0.1%
 
ValueCountFrequency (%) 
2228631116.1%
 
33311061520.6%
 
3355170.1%
 
33652081.0%
 
55533226061.8%
 
ValueCountFrequency (%) 
8884090.1%
 
66615510.3%
 
5565540.1%
 
55533226061.8%
 
33652081.0%
 

NT_GER
Categorical

HIGH CARDINALITY
MISSING

Distinct929
Distinct (%)0.2%
Missing87504
Missing (%)16.3%
Memory size4.1 MiB
44,6
 
1348
39,4
 
1340
37,5
 
1316
43,1
 
1303
41,3
 
1302
Other values (924)
443323 
ValueCountFrequency (%) 
44,613480.3%
 
39,413400.2%
 
37,513160.2%
 
43,113030.2%
 
41,313020.2%
 
39,013000.2%
 
37,112980.2%
 
39,812910.2%
 
42,712890.2%
 
40,212800.2%
 
Other values (919)43686581.3%
 
(Missing)8750416.3%
 
2020-09-29T19:02:26.876846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique29 ?
Unique (%)< 0.1%

NT_FG
Categorical

HIGH CARDINALITY
MISSING

Distinct912
Distinct (%)0.2%
Missing87504
Missing (%)16.3%
Memory size4.1 MiB
30,0
 
6724
22,5
 
5829
37,5
 
5779
45,0
 
4351
15,0
 
4313
Other values (907)
422936 
ValueCountFrequency (%) 
30,067241.3%
 
22,558291.1%
 
37,557791.1%
 
45,043510.8%
 
15,043130.8%
 
52,530820.6%
 
17,223490.4%
 
25,723390.4%
 
7,522260.4%
 
34,320190.4%
 
Other values (902)41092176.5%
 
(Missing)8750416.3%
 
2020-09-29T19:02:27.146302image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

NT_OBJ_FG
Categorical

MISSING

Distinct15
Distinct (%)< 0.1%
Missing87504
Missing (%)16.3%
Memory size4.1 MiB
50,0
73288 
62,5
67463 
37,5
60595 
75,0
45976 
25,0
37570 
Other values (10)
165040 
ValueCountFrequency (%) 
50,07328813.6%
 
62,56746312.6%
 
37,56059511.3%
 
75,0459768.6%
 
25,0375707.0%
 
42,9293345.5%
 
57,1249474.6%
 
28,6241384.5%
 
87,5220924.1%
 
12,5161373.0%
 
Other values (5)483929.0%
 
(Missing)8750416.3%
 
2020-09-29T19:02:27.378104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

NT_DIS_FG
Categorical

HIGH CARDINALITY
MISSING

Distinct195
Distinct (%)< 0.1%
Missing87504
Missing (%)16.3%
Memory size4.1 MiB
0,0
39613 
65,0
 
5467
64,0
 
5465
63,0
 
5443
73,0
 
5188
Other values (190)
388756 
ValueCountFrequency (%) 
0,0396137.4%
 
65,054671.0%
 
64,054651.0%
 
63,054431.0%
 
73,051881.0%
 
75,051741.0%
 
74,051331.0%
 
62,050900.9%
 
63,549580.9%
 
71,048880.9%
 
Other values (185)36351367.6%
 
(Missing)8750416.3%
 
2020-09-29T19:02:27.634702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

NT_FG_D1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct97
Distinct (%)< 0.1%
Missing87504
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean55.13816977
Minimum0
Maximum100
Zeros49985
Zeros (%)9.3%
Memory size4.1 MiB
2020-09-29T19:02:27.878747image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q144
median60
Q374
95-th percentile88
Maximum100
Range100
Interquartile range (IQR)30

Descriptive statistics

Standard deviation25.8180182
Coefficient of variation (CV)0.4682422052
Kurtosis-0.02596395165
Mean55.13816977
Median Absolute Deviation (MAD)15
Skewness-0.8621178074
Sum24808427
Variance666.5700639
MonotocityNot monotonic
2020-09-29T19:02:28.122667image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0499859.3%
 
79157402.9%
 
75124462.3%
 
77121292.3%
 
67110152.0%
 
59107192.0%
 
55106832.0%
 
63102331.9%
 
76100301.9%
 
7194661.8%
 
Other values (87)29748655.4%
 
(Missing)8750416.3%
 
ValueCountFrequency (%) 
0499859.3%
 
56070.1%
 
65790.1%
 
7206< 0.1%
 
84710.1%
 
ValueCountFrequency (%) 
10044< 0.1%
 
9970< 0.1%
 
989060.2%
 
978370.2%
 
9622620.4%
 

NT_FG_D1_PT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct17
Distinct (%)< 0.1%
Missing87504
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean58.11520408
Minimum0
Maximum100
Zeros45920
Zeros (%)8.5%
Memory size4.1 MiB
2020-09-29T19:02:28.335774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150
median65
Q375
95-th percentile80
Maximum100
Range100
Interquartile range (IQR)25

Descriptive statistics

Standard deviation23.19411593
Coefficient of variation (CV)0.3991058158
Kurtosis1.364406201
Mean58.11520408
Median Absolute Deviation (MAD)10
Skewness-1.42453059
Sum26147890
Variance537.9670139
MonotocityNot monotonic
2020-09-29T19:02:28.656782image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
758545715.9%
 
656971813.0%
 
0459208.5%
 
60447668.3%
 
50431768.0%
 
70396787.4%
 
55350686.5%
 
80312065.8%
 
85107932.0%
 
40102741.9%
 
Other values (7)338766.3%
 
(Missing)8750416.3%
 
ValueCountFrequency (%) 
0459208.5%
 
2537530.7%
 
3052371.0%
 
3546610.9%
 
40102741.9%
 
ValueCountFrequency (%) 
1004600.1%
 
959290.2%
 
9096711.8%
 
85107932.0%
 
80312065.8%
 

NT_FG_D1_CT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct15
Distinct (%)< 0.1%
Missing87504
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean54.5311736
Minimum0
Maximum100
Zeros55170
Zeros (%)10.3%
Memory size4.1 MiB
2020-09-29T19:02:28.863292image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q140
median60
Q375
95-th percentile90
Maximum100
Range100
Interquartile range (IQR)35

Descriptive statistics

Standard deviation27.82106367
Coefficient of variation (CV)0.5101864095
Kurtosis-0.450647653
Mean54.5311736
Median Absolute Deviation (MAD)20
Skewness-0.6107324758
Sum24535320
Variance774.0115835
MonotocityNot monotonic
2020-09-29T19:02:29.063901image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
806321811.8%
 
05517010.3%
 
65380837.1%
 
50366916.8%
 
55354986.6%
 
75332856.2%
 
40315685.9%
 
60310825.8%
 
70272935.1%
 
90226984.2%
 
Other values (5)7534614.0%
 
(Missing)8750416.3%
 
ValueCountFrequency (%) 
05517010.3%
 
1599911.9%
 
25125932.3%
 
30204923.8%
 
40315685.9%
 
ValueCountFrequency (%) 
100201203.7%
 
90226984.2%
 
806321811.8%
 
75332856.2%
 
70272935.1%
 

NT_FG_D2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct94
Distinct (%)< 0.1%
Missing87504
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean52.40290088
Minimum0
Maximum100
Zeros67817
Zeros (%)12.6%
Memory size4.1 MiB
2020-09-29T19:02:29.291313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q131
median55
Q373
95-th percentile95
Maximum100
Range100
Interquartile range (IQR)42

Descriptive statistics

Standard deviation29.77986183
Coefficient of variation (CV)0.5682865134
Kurtosis-0.8021746251
Mean52.40290088
Median Absolute Deviation (MAD)19
Skewness-0.5165377781
Sum23577742
Variance886.8401709
MonotocityNot monotonic
2020-09-29T19:02:29.534112image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
06781712.6%
 
71245274.6%
 
75210173.9%
 
73179743.3%
 
51167923.1%
 
95157932.9%
 
70148182.8%
 
69135592.5%
 
50117482.2%
 
46115042.1%
 
Other values (84)23438343.6%
 
(Missing)8750416.3%
 
ValueCountFrequency (%) 
06781712.6%
 
41< 0.1%
 
512830.2%
 
618230.3%
 
74430.1%
 
ValueCountFrequency (%) 
100268< 0.1%
 
993000.1%
 
9824440.5%
 
9723110.4%
 
9657501.1%
 

NT_FG_D2_PT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct18
Distinct (%)< 0.1%
Missing87504
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean53.31747909
Minimum0
Maximum100
Zeros63297
Zeros (%)11.8%
Memory size4.1 MiB
2020-09-29T19:02:29.755605image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q145
median60
Q375
95-th percentile80
Maximum100
Range100
Interquartile range (IQR)30

Descriptive statistics

Standard deviation25.6195536
Coefficient of variation (CV)0.4805094696
Kurtosis0.02605412193
Mean53.31747909
Median Absolute Deviation (MAD)15
Skewness-1.007394374
Sum23989240
Variance656.3615266
MonotocityNot monotonic
2020-09-29T19:02:29.950290image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
757886814.7%
 
656424412.0%
 
06329711.8%
 
50504699.4%
 
55427928.0%
 
60270995.0%
 
70252644.7%
 
80239874.5%
 
40198543.7%
 
30138142.6%
 
Other values (8)402447.5%
 
(Missing)8750416.3%
 
ValueCountFrequency (%) 
06329711.8%
 
201< 0.1%
 
2567651.3%
 
30138142.6%
 
3546050.9%
 
ValueCountFrequency (%) 
1008610.2%
 
9510300.2%
 
9088501.6%
 
8593151.7%
 
80239874.5%
 

NT_FG_D2_CT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing87504
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean52.31871705
Minimum0
Maximum100
Zeros84489
Zeros (%)15.7%
Memory size4.1 MiB
2020-09-29T19:02:30.135174image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125
median50
Q375
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)50

Descriptive statistics

Standard deviation32.45266836
Coefficient of variation (CV)0.6202879236
Kurtosis-0.9820403757
Mean52.31871705
Median Absolute Deviation (MAD)25
Skewness-0.33548733
Sum23539865
Variance1053.175684
MonotocityNot monotonic
2020-09-29T19:02:30.335095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
759067716.9%
 
08448915.7%
 
706662612.4%
 
1006049411.3%
 
455913411.0%
 
50494119.2%
 
25224544.2%
 
20166473.1%
 
(Missing)8750416.3%
 
ValueCountFrequency (%) 
08448915.7%
 
20166473.1%
 
25224544.2%
 
455913411.0%
 
50494119.2%
 
ValueCountFrequency (%) 
1006049411.3%
 
759067716.9%
 
706662612.4%
 
50494119.2%
 
455913411.0%
 

NT_CE
Categorical

HIGH CARDINALITY
MISSING

Distinct938
Distinct (%)0.2%
Missing87504
Missing (%)16.3%
Memory size4.1 MiB
42,5
 
3540
34,8
 
3337
29,6
 
3254
23,2
 
3236
25,8
 
2987
Other values (933)
433578 
ValueCountFrequency (%) 
42,535400.7%
 
34,833370.6%
 
29,632540.6%
 
23,232360.6%
 
25,829870.6%
 
27,029430.5%
 
22,228920.5%
 
37,028000.5%
 
33,226790.5%
 
30,926490.5%
 
Other values (928)41961578.1%
 
(Missing)8750416.3%
 
2020-09-29T19:02:30.582547image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique23 ?
Unique (%)< 0.1%

NT_OBJ_CE
Categorical

HIGH CARDINALITY
MISSING

Distinct198
Distinct (%)< 0.1%
Missing87504
Missing (%)16.3%
Memory size4.1 MiB
34,8
 
19954
39,1
 
19913
43,5
 
19260
30,4
 
18372
47,8
 
17992
Other values (193)
354441 
ValueCountFrequency (%) 
34,8199543.7%
 
39,1199133.7%
 
43,5192603.6%
 
30,4183723.4%
 
47,8179923.3%
 
52,2160053.0%
 
26,1157602.9%
 
50,0154832.9%
 
56,5137082.6%
 
21,7122952.3%
 
Other values (188)28119052.3%
 
(Missing)8750416.3%
 
2020-09-29T19:02:30.851681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

NT_DIS_CE
Categorical

HIGH CARDINALITY
MISSING

Distinct75
Distinct (%)< 0.1%
Missing87504
Missing (%)16.3%
Memory size4.1 MiB
0,0
69782 
33,3
 
18165
10,0
 
16697
23,3
 
16135
13,3
 
15902
Other values (70)
313251 
ValueCountFrequency (%) 
0,06978213.0%
 
33,3181653.4%
 
10,0166973.1%
 
23,3161353.0%
 
13,3159023.0%
 
16,7143382.7%
 
20,0143042.7%
 
26,7136682.5%
 
6,7125572.3%
 
40,0119712.2%
 
Other values (65)24641345.8%
 
(Missing)8750416.3%
 
2020-09-29T19:02:31.114690image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

NT_CE_D1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing87504
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean29.58187015
Minimum0
Maximum100
Zeros160970
Zeros (%)30.0%
Memory size4.1 MiB
2020-09-29T19:02:31.337212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20
Q350
95-th percentile90
Maximum100
Range100
Interquartile range (IQR)50

Descriptive statistics

Standard deviation30.27990538
Coefficient of variation (CV)1.023596724
Kurtosis-0.6294123294
Mean29.58187015
Median Absolute Deviation (MAD)20
Skewness0.7078103377
Sum13309830
Variance916.8726699
MonotocityNot monotonic
2020-09-29T19:02:31.553293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
016097030.0%
 
40354076.6%
 
30309495.8%
 
20248284.6%
 
70243174.5%
 
55225324.2%
 
10219864.1%
 
100171083.2%
 
50169443.2%
 
60163863.0%
 
Other values (11)7850514.6%
 
(Missing)8750416.3%
 
ValueCountFrequency (%) 
016097030.0%
 
551651.0%
 
10219864.1%
 
15127222.4%
 
20248284.6%
 
ValueCountFrequency (%) 
100171083.2%
 
955270.1%
 
9048730.9%
 
85111712.1%
 
8083961.6%
 

NT_CE_D2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing87504
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean31.18107847
Minimum0
Maximum100
Zeros186865
Zeros (%)34.8%
Memory size4.1 MiB
2020-09-29T19:02:31.764208image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20
Q360
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)60

Descriptive statistics

Standard deviation33.56773559
Coefficient of variation (CV)1.07654184
Kurtosis-0.9164570618
Mean31.18107847
Median Absolute Deviation (MAD)20
Skewness0.6669670095
Sum14029365
Variance1126.792873
MonotocityNot monotonic
2020-09-29T19:02:32.101660image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
018686534.8%
 
80333106.2%
 
40322166.0%
 
60301105.6%
 
30269685.0%
 
100266965.0%
 
20250004.7%
 
50218104.1%
 
25151032.8%
 
70118562.2%
 
Other values (11)399987.4%
 
(Missing)8750416.3%
 
ValueCountFrequency (%) 
018686534.8%
 
524450.5%
 
10103641.9%
 
1525850.5%
 
20250004.7%
 
ValueCountFrequency (%) 
100266965.0%
 
953640.1%
 
90116182.2%
 
856620.1%
 
80333106.2%
 

NT_CE_D3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing87504
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean26.45804255
Minimum0
Maximum100
Zeros202002
Zeros (%)37.6%
Memory size4.1 MiB
2020-09-29T19:02:32.308856image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q350
95-th percentile85
Maximum100
Range100
Interquartile range (IQR)50

Descriptive statistics

Standard deviation30.29507377
Coefficient of variation (CV)1.145023246
Kurtosis-0.484363751
Mean26.45804255
Median Absolute Deviation (MAD)15
Skewness0.8373434303
Sum11904320
Variance917.7914945
MonotocityNot monotonic
2020-09-29T19:02:32.521443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
020200237.6%
 
30284985.3%
 
50280455.2%
 
60251414.7%
 
40239934.5%
 
20197033.7%
 
100164563.1%
 
80160093.0%
 
70155502.9%
 
25151662.8%
 
Other values (11)5936911.0%
 
(Missing)8750416.3%
 
ValueCountFrequency (%) 
020200237.6%
 
55270.1%
 
10142472.7%
 
1598051.8%
 
20197033.7%
 
ValueCountFrequency (%) 
100164563.1%
 
9521< 0.1%
 
9044220.8%
 
8520620.4%
 
80160093.0%
 

CO_RS_I1
Categorical

Distinct7
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size4.1 MiB
C
247403 
D
120295 
.
106381 
B
35929 
E
 
19825
Other values (2)
 
7592
ValueCountFrequency (%) 
C24740346.0%
 
D12029522.4%
 
.10638119.8%
 
B359296.7%
 
E198253.7%
 
A73251.4%
 
*267< 0.1%
 
(Missing)11< 0.1%
 
2020-09-29T19:02:32.725612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I2
Categorical

Distinct7
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size4.1 MiB
C
223338 
D
158910 
.
106602 
E
23848 
B
 
20582
Other values (2)
 
4145
ValueCountFrequency (%) 
C22333841.6%
 
D15891029.6%
 
.10660219.8%
 
E238484.4%
 
B205823.8%
 
A38650.7%
 
*2800.1%
 
(Missing)11< 0.1%
 
2020-09-29T19:02:32.957132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I3
Categorical

Distinct7
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size4.1 MiB
C
207601 
B
107089 
.
106732 
A
77898 
D
28780 
Other values (2)
 
9325
ValueCountFrequency (%) 
C20760138.6%
 
B10708919.9%
 
.10673219.9%
 
A7789814.5%
 
D287805.4%
 
E87481.6%
 
*5770.1%
 
(Missing)11< 0.1%
 
2020-09-29T19:02:33.188900image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I4
Categorical

Distinct7
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size4.1 MiB
B
228746 
.
107064 
A
92387 
C
62673 
D
41508 
Other values (2)
 
5047
ValueCountFrequency (%) 
B22874642.6%
 
.10706419.9%
 
A9238717.2%
 
C6267311.7%
 
D415087.7%
 
E47890.9%
 
*258< 0.1%
 
(Missing)11< 0.1%
 
2020-09-29T19:02:33.417464image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I5
Categorical

Distinct7
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size4.1 MiB
B
234619 
.
107076 
A
89413 
C
64902 
D
36756 
Other values (2)
 
4659
ValueCountFrequency (%) 
B23461943.7%
 
.10707619.9%
 
A8941316.6%
 
C6490212.1%
 
D367566.8%
 
E42420.8%
 
*4170.1%
 
(Missing)11< 0.1%
 
2020-09-29T19:02:33.627034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I6
Categorical

Distinct7
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size4.1 MiB
C
208507 
B
120020 
.
107230 
D
71912 
A
23659 
Other values (2)
 
6097
ValueCountFrequency (%) 
C20850738.8%
 
B12002022.3%
 
.10723020.0%
 
D7191213.4%
 
A236594.4%
 
E55671.0%
 
*5300.1%
 
(Missing)11< 0.1%
 
2020-09-29T19:02:33.842969image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I7
Categorical

Distinct7
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size4.1 MiB
B
197751 
.
107930 
A
73289 
D
65966 
E
62270 
Other values (2)
30219 
ValueCountFrequency (%) 
B19775136.8%
 
.10793020.1%
 
A7328913.6%
 
D6596612.3%
 
E6227011.6%
 
C290885.4%
 
*11310.2%
 
(Missing)11< 0.1%
 
2020-09-29T19:02:34.074448image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I8
Categorical

Distinct7
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size4.1 MiB
D
249801 
.
108205 
C
69558 
B
51766 
E
35067 
Other values (2)
 
23028
ValueCountFrequency (%) 
D24980146.5%
 
.10820520.1%
 
C6955812.9%
 
B517669.6%
 
E350676.5%
 
A223594.2%
 
*6690.1%
 
(Missing)11< 0.1%
 
2020-09-29T19:02:34.293291image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I9
Categorical

Distinct7
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size4.1 MiB
D
195028 
C
125170 
.
110133 
B
55302 
E
46697 
Other values (2)
 
5095
ValueCountFrequency (%) 
D19502836.3%
 
C12517023.3%
 
.11013320.5%
 
B5530210.3%
 
E466978.7%
 
A45380.8%
 
*5570.1%
 
(Missing)11< 0.1%
 
2020-09-29T19:02:34.522016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I01
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
318407 
B
116106 
E
 
17035
C
 
14471
D
 
1637
ValueCountFrequency (%) 
A31840759.2%
 
B11610621.6%
 
E170353.2%
 
C144712.7%
 
D16370.3%
 
(Missing)6978013.0%
 
2020-09-29T19:02:34.744376image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I02
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
241871 
D
155086 
B
44090 
F
 
13313
C
 
11325
ValueCountFrequency (%) 
A24187145.0%
 
D15508628.9%
 
B440908.2%
 
F133132.5%
 
C113252.1%
 
E19710.4%
 
(Missing)6978013.0%
 
2020-09-29T19:02:34.982105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I03
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
462287 
B
 
4266
C
 
1103
ValueCountFrequency (%) 
A46228786.0%
 
B42660.8%
 
C11030.2%
 
(Missing)6978013.0%
 
2020-09-29T19:02:35.191262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I04
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
B
142488 
D
136102 
C
68164 
E
61890 
A
36927 
ValueCountFrequency (%) 
B14248826.5%
 
D13610225.3%
 
C6816412.7%
 
E6189011.5%
 
A369276.9%
 
F220854.1%
 
(Missing)6978013.0%
 
2020-09-29T19:02:35.407208image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I05
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
D
144018 
B
123070 
E
68732 
C
67947 
F
38097 
ValueCountFrequency (%) 
D14401826.8%
 
B12307022.9%
 
E6873212.8%
 
C6794712.6%
 
F380977.1%
 
A257924.8%
 
(Missing)6978013.0%
 
2020-09-29T19:02:35.630320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I06
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
B
244966 
C
153587 
A
33500 
D
30101 
F
 
3691
ValueCountFrequency (%) 
B24496645.6%
 
C15358728.6%
 
A335006.2%
 
D301015.6%
 
F36910.7%
 
E18110.3%
 
(Missing)6978013.0%
 
2020-09-29T19:02:35.862121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I07
Categorical

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
D
117870 
C
108087 
B
72145 
E
68291 
A
52644 
Other values (3)
48619 
ValueCountFrequency (%) 
D11787021.9%
 
C10808720.1%
 
B7214513.4%
 
E6829112.7%
 
A526449.8%
 
F291065.4%
 
G111062.1%
 
H84071.6%
 
(Missing)6978013.0%
 
2020-09-29T19:02:36.082147image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I08
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
B
135503 
A
105918 
C
95843 
E
49348 
D
49096 
Other values (2)
31948 
ValueCountFrequency (%) 
B13550325.2%
 
A10591819.7%
 
C9584317.8%
 
E493489.2%
 
D490969.1%
 
F279345.2%
 
G40140.7%
 
(Missing)6978013.0%
 
2020-09-29T19:02:36.314918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I09
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
C
126179 
B
124435 
E
93485 
D
48791 
F
42792 
ValueCountFrequency (%) 
C12617923.5%
 
B12443523.2%
 
E9348517.4%
 
D487919.1%
 
F427928.0%
 
A319745.9%
 
(Missing)6978013.0%
 
2020-09-29T19:02:36.664214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I10
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
176681 
E
158298 
D
55441 
C
40141 
B
37095 
ValueCountFrequency (%) 
A17668132.9%
 
E15829829.5%
 
D5544110.3%
 
C401417.5%
 
B370956.9%
 
(Missing)6978013.0%
 
2020-09-29T19:02:36.880116image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I11
Categorical

MISSING

Distinct11
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
155492 
B
142471 
E
67023 
H
32860 
C
29050 
Other values (6)
40760 
ValueCountFrequency (%) 
A15549228.9%
 
B14247126.5%
 
E6702312.5%
 
H328606.1%
 
C290505.4%
 
G137562.6%
 
I96741.8%
 
J61261.1%
 
D55621.0%
 
F35040.7%
 
(Missing)6978013.0%
 
2020-09-29T19:02:37.121331image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I12
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
425892 
E
 
12398
F
 
11674
C
 
8899
D
 
5027
ValueCountFrequency (%) 
A42589279.2%
 
E123982.3%
 
F116742.2%
 
C88991.7%
 
D50270.9%
 
B37660.7%
 
(Missing)6978013.0%
 
2020-09-29T19:02:37.334517image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I13
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
349251 
F
42387 
B
41843 
D
 
15993
C
 
14748
ValueCountFrequency (%) 
A34925165.0%
 
F423877.9%
 
B418437.8%
 
D159933.0%
 
C147482.7%
 
E34340.6%
 
(Missing)6978013.0%
 
2020-09-29T19:02:37.550626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I14
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
443058 
B
 
14067
F
 
5576
E
 
3419
C
 
1308
ValueCountFrequency (%) 
A44305882.4%
 
B140672.6%
 
F55761.0%
 
E34190.6%
 
C13080.2%
 
D228< 0.1%
 
(Missing)6978013.0%
 
2020-09-29T19:02:37.766372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I15
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
366276 
D
37375 
C
 
25825
E
 
18443
F
 
10860
ValueCountFrequency (%) 
A36627668.2%
 
D373757.0%
 
C258254.8%
 
E184433.4%
 
F108602.0%
 
B88771.7%
 
(Missing)6978013.0%
 
2020-09-29T19:02:37.967247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I16
Real number (ℝ≥0)

MISSING

Distinct28
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean33.33837906
Minimum11
Maximum99
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:38.174997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15
Q129
median33
Q335
95-th percentile52
Maximum99
Range88
Interquartile range (IQR)6

Descriptive statistics

Standard deviation10.05218682
Coefficient of variation (CV)0.301519963
Kurtosis6.682070247
Mean33.33837906
Median Absolute Deviation (MAD)4
Skewness1.005519949
Sum15590893
Variance101.0464599
MonotocityNot monotonic
2020-09-29T19:02:38.383165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
3511135220.7%
 
315731410.7%
 
33419807.8%
 
41299715.6%
 
43263444.9%
 
29231944.3%
 
42206023.8%
 
15176793.3%
 
26161003.0%
 
52143052.7%
 
Other values (18)10881520.2%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1141300.8%
 
1220500.4%
 
1381561.5%
 
1411090.2%
 
15176793.3%
 
ValueCountFrequency (%) 
9919180.4%
 
5381371.5%
 
52143052.7%
 
5162601.2%
 
5069261.3%
 

QE_I17
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
321192 
B
109791 
D
 
19429
E
 
15795
F
 
952
ValueCountFrequency (%) 
A32119259.8%
 
B10979120.4%
 
D194293.6%
 
E157952.9%
 
F9520.2%
 
C4970.1%
 
(Missing)6978013.0%
 
2020-09-29T19:02:38.614924image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I18
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
364410 
B
44842 
D
 
27389
C
 
26610
E
 
4405
ValueCountFrequency (%) 
A36441067.8%
 
B448428.3%
 
D273895.1%
 
C266105.0%
 
E44050.8%
 
(Missing)6978013.0%
 
2020-09-29T19:02:38.836955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I19
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
B
281251 
A
79413 
C
46476 
F
 
28022
G
 
15286
Other values (2)
 
17208
ValueCountFrequency (%) 
B28125152.3%
 
A7941314.8%
 
C464768.6%
 
F280225.2%
 
G152862.8%
 
D152542.8%
 
E19540.4%
 
(Missing)6978013.0%
 
2020-09-29T19:02:39.068682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I20
Categorical

MISSING

Distinct11
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
C
176117 
A
120843 
G
55466 
K
35135 
B
29140 
Other values (6)
50955 
ValueCountFrequency (%) 
C17611732.8%
 
A12084322.5%
 
G5546610.3%
 
K351356.5%
 
B291405.4%
 
H230054.3%
 
E116912.2%
 
J68371.3%
 
D57601.1%
 
F20720.4%
 
(Missing)6978013.0%
 
2020-09-29T19:02:39.294170image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I21
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
307655 
B
160001 
ValueCountFrequency (%) 
A30765557.2%
 
B16000129.8%
 
(Missing)6978013.0%
 
2020-09-29T19:02:39.516779image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I22
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
B
167506 
C
141957 
A
57026 
E
56844 
D
44323 
ValueCountFrequency (%) 
B16750631.2%
 
C14195726.4%
 
A5702610.6%
 
E5684410.6%
 
D443238.2%
 
(Missing)6978013.0%
 
2020-09-29T19:02:39.740200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I23
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
B
192297 
C
140405 
D
60636 
E
55742 
A
 
18576
ValueCountFrequency (%) 
B19229735.8%
 
C14040526.1%
 
D6063611.3%
 
E5574210.4%
 
A185763.5%
 
(Missing)6978013.0%
 
2020-09-29T19:02:39.954954image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I24
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
E
318385 
A
91533 
D
33670 
C
 
18875
B
 
5193
ValueCountFrequency (%) 
E31838559.2%
 
A9153317.0%
 
D336706.3%
 
C188753.5%
 
B51931.0%
 
(Missing)6978013.0%
 
2020-09-29T19:02:40.186775image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I25
Categorical

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
E
169963 
A
105294 
H
76316 
C
66662 
B
28851 
Other values (3)
20570 
ValueCountFrequency (%) 
E16996331.6%
 
A10529419.6%
 
H7631614.2%
 
C6666212.4%
 
B288515.4%
 
F103671.9%
 
G58871.1%
 
D43160.8%
 
(Missing)6978013.0%
 
2020-09-29T19:02:40.418496image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I26
Categorical

MISSING

Distinct9
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
F
158176 
A
81702 
C
74891 
I
41914 
B
40766 
Other values (4)
70207 
ValueCountFrequency (%) 
F15817629.4%
 
A8170215.2%
 
C7489113.9%
 
I419147.8%
 
B407667.6%
 
E332236.2%
 
H238564.4%
 
G66611.2%
 
D64671.2%
 
(Missing)6978013.0%
 
2020-09-29T19:02:40.641321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I27
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.296226286
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:40.856850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.016140476
Coefficient of variation (CV)0.1918612275
Kurtosis2.377765615
Mean5.296226286
Median Absolute Deviation (MAD)0
Skewness-1.426544659
Sum2476812
Variance1.032541468
MonotocityNot monotonic
2020-09-29T19:02:41.173390image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
625496547.4%
 
512097122.5%
 
45765710.7%
 
3200933.7%
 
256461.1%
 
735730.7%
 
132930.6%
 
814580.3%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
132930.6%
 
256461.1%
 
3200933.7%
 
45765710.7%
 
512097122.5%
 
ValueCountFrequency (%) 
814580.3%
 
735730.7%
 
625496547.4%
 
512097122.5%
 
45765710.7%
 

QE_I28
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.182591477
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:41.366985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.182787129
Coefficient of variation (CV)0.2282231069
Kurtosis1.712363939
Mean5.182591477
Median Absolute Deviation (MAD)0
Skewness-1.250345427
Sum2423670
Variance1.398985393
MonotocityNot monotonic
2020-09-29T19:02:41.558935image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
623532543.8%
 
511708921.8%
 
46042811.2%
 
3269495.0%
 
2111792.1%
 
165751.2%
 
761051.1%
 
840060.7%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
165751.2%
 
2111792.1%
 
3269495.0%
 
46042811.2%
 
511708921.8%
 
ValueCountFrequency (%) 
840060.7%
 
761051.1%
 
623532543.8%
 
511708921.8%
 
46042811.2%
 

QE_I29
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.106082248
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:41.743757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.187651824
Coefficient of variation (CV)0.2325955137
Kurtosis1.447738686
Mean5.106082248
Median Absolute Deviation (MAD)1
Skewness-1.305544055
Sum2387890
Variance1.410516855
MonotocityNot monotonic
2020-09-29T19:02:41.936014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
623064142.9%
 
511803922.0%
 
46519412.1%
 
3295215.5%
 
2128282.4%
 
170401.3%
 
733300.6%
 
810630.2%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
170401.3%
 
2128282.4%
 
3295215.5%
 
46519412.1%
 
511803922.0%
 
ValueCountFrequency (%) 
810630.2%
 
733300.6%
 
623064142.9%
 
511803922.0%
 
46519412.1%
 

QE_I30
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.034606634
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:42.122408image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.269758512
Coefficient of variation (CV)0.2522061015
Kurtosis1.085709386
Mean5.034606634
Median Absolute Deviation (MAD)1
Skewness-1.237196721
Sum2354464
Variance1.612286678
MonotocityNot monotonic
2020-09-29T19:02:42.303694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
622665242.2%
 
510976020.4%
 
46713312.5%
 
3336506.3%
 
2157632.9%
 
199101.8%
 
734700.6%
 
813180.2%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
199101.8%
 
2157632.9%
 
3336506.3%
 
46713312.5%
 
510976020.4%
 
ValueCountFrequency (%) 
813180.2%
 
734700.6%
 
622665242.2%
 
510976020.4%
 
46713312.5%
 

QE_I31
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.325420822
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:42.564460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.081232835
Coefficient of variation (CV)0.2030323745
Kurtosis3.206462842
Mean5.325420822
Median Absolute Deviation (MAD)0
Skewness-1.699264066
Sum2490465
Variance1.169064443
MonotocityNot monotonic
2020-09-29T19:02:42.749440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
627363650.9%
 
510872920.2%
 
4464658.6%
 
3194763.6%
 
281551.5%
 
159491.1%
 
735110.7%
 
817350.3%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
159491.1%
 
281551.5%
 
3194763.6%
 
4464658.6%
 
510872920.2%
 
ValueCountFrequency (%) 
817350.3%
 
735110.7%
 
627363650.9%
 
510872920.2%
 
4464658.6%
 

QE_I32
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.328987546
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:42.952520image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.132946871
Coefficient of variation (CV)0.2126007728
Kurtosis3.065216448
Mean5.328987546
Median Absolute Deviation (MAD)0
Skewness-1.616312305
Sum2492133
Variance1.283568612
MonotocityNot monotonic
2020-09-29T19:02:43.127864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
627718751.6%
 
510042818.7%
 
4464638.6%
 
3203733.8%
 
286361.6%
 
172981.4%
 
844330.8%
 
728380.5%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
172981.4%
 
286361.6%
 
3203733.8%
 
4464638.6%
 
510042818.7%
 
ValueCountFrequency (%) 
844330.8%
 
728380.5%
 
627718751.6%
 
510042818.7%
 
4464638.6%
 

QE_I33
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.37998871
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:43.322848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.008495296
Coefficient of variation (CV)0.1874530507
Kurtosis3.860219889
Mean5.37998871
Median Absolute Deviation (MAD)0
Skewness-1.794447413
Sum2515984
Variance1.017062763
MonotocityNot monotonic
2020-09-29T19:02:43.521432image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
628067452.2%
 
511231520.9%
 
4434068.1%
 
3161583.0%
 
262871.2%
 
145880.9%
 
727190.5%
 
815090.3%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
145880.9%
 
262871.2%
 
3161583.0%
 
4434068.1%
 
511231520.9%
 
ValueCountFrequency (%) 
815090.3%
 
727190.5%
 
628067452.2%
 
511231520.9%
 
4434068.1%
 

QE_I34
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.337737568
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:43.713381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.074412277
Coefficient of variation (CV)0.2012860811
Kurtosis3.225088626
Mean5.337737568
Median Absolute Deviation (MAD)0
Skewness-1.622762773
Sum2496225
Variance1.154361741
MonotocityNot monotonic
2020-09-29T19:02:43.913797image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
627093750.4%
 
511129420.7%
 
4469028.7%
 
3186823.5%
 
275641.4%
 
156281.0%
 
734690.6%
 
831800.6%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
156281.0%
 
275641.4%
 
3186823.5%
 
4469028.7%
 
511129420.7%
 
ValueCountFrequency (%) 
831800.6%
 
734690.6%
 
627093750.4%
 
511129420.7%
 
4469028.7%
 

QE_I35
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.285992268
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:44.098578image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.084464321
Coefficient of variation (CV)0.205158136
Kurtosis2.8291256
Mean5.285992268
Median Absolute Deviation (MAD)0
Skewness-1.563958577
Sum2472026
Variance1.176062863
MonotocityNot monotonic
2020-09-29T19:02:44.295033image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
626030448.4%
 
511679221.7%
 
4515719.6%
 
3201433.7%
 
281581.5%
 
156581.1%
 
726850.5%
 
823450.4%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
156581.1%
 
281581.5%
 
3201433.7%
 
4515719.6%
 
511679221.7%
 
ValueCountFrequency (%) 
823450.4%
 
726850.5%
 
626030448.4%
 
511679221.7%
 
4515719.6%
 

QE_I36
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.305081085
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:44.500605image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.017487414
Coefficient of variation (CV)0.1917948844
Kurtosis2.985339768
Mean5.305081085
Median Absolute Deviation (MAD)0
Skewness-1.5804457
Sum2480953
Variance1.035280637
MonotocityNot monotonic
2020-09-29T19:02:44.683674image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
625654847.7%
 
512599723.4%
 
4521299.7%
 
3181403.4%
 
261611.1%
 
142380.8%
 
733600.6%
 
810830.2%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
142380.8%
 
261611.1%
 
3181403.4%
 
4521299.7%
 
512599723.4%
 
ValueCountFrequency (%) 
810830.2%
 
733600.6%
 
625654847.7%
 
512599723.4%
 
4521299.7%
 

QE_I37
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.940287305
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:44.883946image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.336772827
Coefficient of variation (CV)0.2705860499
Kurtosis0.8833833545
Mean4.940287305
Median Absolute Deviation (MAD)1
Skewness-1.132340826
Sum2310355
Variance1.786961591
MonotocityNot monotonic
2020-09-29T19:02:45.082379image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
620805838.7%
 
511543721.5%
 
47255913.5%
 
3342646.4%
 
2176283.3%
 
1140322.6%
 
729180.5%
 
827600.5%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1140322.6%
 
2176283.3%
 
3342646.4%
 
47255913.5%
 
511543721.5%
 
ValueCountFrequency (%) 
827600.5%
 
729180.5%
 
620805838.7%
 
511543721.5%
 
47255913.5%
 

QE_I38
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.98527764
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:45.285748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.212362183
Coefficient of variation (CV)0.2431884983
Kurtosis1.022854298
Mean4.98527764
Median Absolute Deviation (MAD)1
Skewness-1.101575916
Sum2331395
Variance1.469822062
MonotocityNot monotonic
2020-09-29T19:02:45.485504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
619805936.9%
 
513129124.4%
 
47798914.5%
 
3335056.2%
 
2134982.5%
 
179301.5%
 
738830.7%
 
815010.3%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
179301.5%
 
2134982.5%
 
3335056.2%
 
47798914.5%
 
513129124.4%
 
ValueCountFrequency (%) 
815010.3%
 
738830.7%
 
619805936.9%
 
513129124.4%
 
47798914.5%
 

QE_I39
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.167937544
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:45.816023image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.122966112
Coefficient of variation (CV)0.2172948305
Kurtosis1.82629443
Mean5.167937544
Median Absolute Deviation (MAD)1
Skewness-1.3139809
Sum2416817
Variance1.26105289
MonotocityNot monotonic
2020-09-29T19:02:46.001918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
622863542.5%
 
512888124.0%
 
46279511.7%
 
3256224.8%
 
295151.8%
 
155761.0%
 
751061.0%
 
815260.3%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
155761.0%
 
295151.8%
 
3256224.8%
 
46279511.7%
 
512888124.0%
 
ValueCountFrequency (%) 
815260.3%
 
751061.0%
 
622863542.5%
 
512888124.0%
 
46279511.7%
 

QE_I40
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.793192004
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:46.186622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.473585601
Coefficient of variation (CV)0.3074330424
Kurtosis0.1763849773
Mean4.793192004
Median Absolute Deviation (MAD)1
Skewness-0.8099273369
Sum2241565
Variance2.171454522
MonotocityNot monotonic
2020-09-29T19:02:46.386680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
616952231.5%
 
511157920.8%
 
48079715.0%
 
3438178.2%
 
2220544.1%
 
1192613.6%
 
7164783.1%
 
841480.8%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1192613.6%
 
2220544.1%
 
3438178.2%
 
48079715.0%
 
511157920.8%
 
ValueCountFrequency (%) 
841480.8%
 
7164783.1%
 
616952231.5%
 
511157920.8%
 
48079715.0%
 

QE_I41
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.937870999
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:46.587134image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.418584007
Coefficient of variation (CV)0.2872865668
Kurtosis0.6831375747
Mean4.937870999
Median Absolute Deviation (MAD)1
Skewness-1.175741175
Sum2309225
Variance2.012380584
MonotocityNot monotonic
2020-09-29T19:02:46.786062image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
622255241.4%
 
510044118.7%
 
46223711.6%
 
3361696.7%
 
2206353.8%
 
1180263.4%
 
758111.1%
 
817850.3%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1180263.4%
 
2206353.8%
 
3361696.7%
 
46223711.6%
 
510044118.7%
 
ValueCountFrequency (%) 
817850.3%
 
758111.1%
 
622255241.4%
 
510044118.7%
 
46223711.6%
 

QE_I42
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.397001215
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:46.973549image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9926446352
Coefficient of variation (CV)0.1839252199
Kurtosis3.999293096
Mean5.397001215
Median Absolute Deviation (MAD)0
Skewness-1.858254702
Sum2523940
Variance0.9853433717
MonotocityNot monotonic
2020-09-29T19:02:47.169950image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
628752953.5%
 
510752520.0%
 
4428808.0%
 
3161043.0%
 
258121.1%
 
143080.8%
 
726070.5%
 
88910.2%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
143080.8%
 
258121.1%
 
3161043.0%
 
4428808.0%
 
510752520.0%
 
ValueCountFrequency (%) 
88910.2%
 
726070.5%
 
628752953.5%
 
510752520.0%
 
4428808.0%
 

QE_I43
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.987792309
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:47.357811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.514687941
Coefficient of variation (CV)0.3036790321
Kurtosis0.5193868727
Mean4.987792309
Median Absolute Deviation (MAD)1
Skewness-0.9741678769
Sum2332571
Variance2.294279557
MonotocityNot monotonic
2020-09-29T19:02:47.558422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
620698238.5%
 
59522017.7%
 
46207611.6%
 
3356256.6%
 
1207483.9%
 
2197793.7%
 
7187143.5%
 
885121.6%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1207483.9%
 
2197793.7%
 
3356256.6%
 
46207611.6%
 
59522017.7%
 
ValueCountFrequency (%) 
885121.6%
 
7187143.5%
 
620698238.5%
 
59522017.7%
 
46207611.6%
 

QE_I44
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.965044819
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:47.768905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.554542087
Coefficient of variation (CV)0.3130972919
Kurtosis0.3791232633
Mean4.965044819
Median Absolute Deviation (MAD)1
Skewness-0.9098589209
Sum2321933
Variance2.416601101
MonotocityNot monotonic
2020-09-29T19:02:47.959561image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
620037137.3%
 
59462717.6%
 
46219211.6%
 
3366016.8%
 
1224854.2%
 
2209063.9%
 
7200883.7%
 
8103861.9%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1224854.2%
 
2209063.9%
 
3366016.8%
 
46219211.6%
 
59462717.6%
 
ValueCountFrequency (%) 
8103861.9%
 
7200883.7%
 
620037137.3%
 
59462717.6%
 
46219211.6%
 

QE_I45
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.982769386
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:48.160115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.440384364
Coefficient of variation (CV)0.2890730539
Kurtosis0.6093848225
Mean4.982769386
Median Absolute Deviation (MAD)1
Skewness-0.9782464309
Sum2330222
Variance2.074707115
MonotocityNot monotonic
2020-09-29T19:02:48.359927image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
620730038.6%
 
510144218.9%
 
46612412.3%
 
3372486.9%
 
2190303.5%
 
1162863.0%
 
7131822.5%
 
870441.3%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1162863.0%
 
2190303.5%
 
3372486.9%
 
46612412.3%
 
510144218.9%
 
ValueCountFrequency (%) 
870441.3%
 
7131822.5%
 
620730038.6%
 
510144218.9%
 
46612412.3%
 

QE_I46
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.995250783
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:48.560492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.787222238
Coefficient of variation (CV)0.3577842868
Kurtosis-0.2526709892
Mean4.995250783
Median Absolute Deviation (MAD)1
Skewness-0.6734580451
Sum2336059
Variance3.19416333
MonotocityNot monotonic
2020-09-29T19:02:48.773325image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
614937027.8%
 
57952114.8%
 
76384811.9%
 
46274611.7%
 
3400827.5%
 
1310205.8%
 
2225844.2%
 
8184853.4%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1310205.8%
 
2225844.2%
 
3400827.5%
 
46274611.7%
 
57952114.8%
 
ValueCountFrequency (%) 
8184853.4%
 
76384811.9%
 
614937027.8%
 
57952114.8%
 
46274611.7%
 

QE_I47
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.946546179
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:48.961927image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.354837043
Coefficient of variation (CV)0.2738955615
Kurtosis0.6880525345
Mean4.946546179
Median Absolute Deviation (MAD)1
Skewness-1.054261782
Sum2313282
Variance1.835583414
MonotocityNot monotonic
2020-09-29T19:02:49.162414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
620812238.7%
 
511066320.6%
 
47065313.1%
 
3371536.9%
 
2194453.6%
 
1127672.4%
 
753171.0%
 
835360.7%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1127672.4%
 
2194453.6%
 
3371536.9%
 
47065313.1%
 
511066320.6%
 
ValueCountFrequency (%) 
835360.7%
 
753171.0%
 
620812238.7%
 
511066320.6%
 
47065313.1%
 

QE_I48
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.724521871
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:49.362389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.486641308
Coefficient of variation (CV)0.3146649225
Kurtosis0.0855197946
Mean4.724521871
Median Absolute Deviation (MAD)1
Skewness-0.8501289082
Sum2209451
Variance2.210102379
MonotocityNot monotonic
2020-09-29T19:02:49.562959image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
617881633.3%
 
511057320.6%
 
47703514.3%
 
3444068.3%
 
2265564.9%
 
1211633.9%
 
747990.9%
 
843080.8%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1211633.9%
 
2265564.9%
 
3444068.3%
 
47703514.3%
 
511057320.6%
 
ValueCountFrequency (%) 
843080.8%
 
747990.9%
 
617881633.3%
 
511057320.6%
 
47703514.3%
 

QE_I49
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.129486204
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:49.764249image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.160736563
Coefficient of variation (CV)0.2262871011
Kurtosis1.680224665
Mean5.129486204
Median Absolute Deviation (MAD)1
Skewness-1.323749172
Sum2398835
Variance1.347309369
MonotocityNot monotonic
2020-09-29T19:02:49.960179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
622676842.2%
 
512618123.5%
 
46349411.8%
 
3274945.1%
 
2111382.1%
 
167741.3%
 
746420.9%
 
811650.2%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
167741.3%
 
2111382.1%
 
3274945.1%
 
46349411.8%
 
512618123.5%
 
ValueCountFrequency (%) 
811650.2%
 
746420.9%
 
622676842.2%
 
512618123.5%
 
46349411.8%
 

QE_I50
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.525726175
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:50.282760image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.244779747
Coefficient of variation (CV)0.2252698936
Kurtosis2.945863992
Mean5.525726175
Median Absolute Deviation (MAD)0
Skewness-1.236054198
Sum2584139
Variance1.549476619
MonotocityNot monotonic
2020-09-29T19:02:50.480794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
627198850.6%
 
58721916.2%
 
4372236.9%
 
8234064.4%
 
3162763.0%
 
7153812.9%
 
188451.6%
 
273181.4%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
188451.6%
 
273181.4%
 
3162763.0%
 
4372236.9%
 
58721916.2%
 
ValueCountFrequency (%) 
8234064.4%
 
7153812.9%
 
627198850.6%
 
58721916.2%
 
4372236.9%
 

QE_I51
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.585327677
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:50.665753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.192970939
Coefficient of variation (CV)0.2135901433
Kurtosis2.742858755
Mean5.585327677
Median Absolute Deviation (MAD)0
Skewness-0.9771696331
Sum2612012
Variance1.423179661
MonotocityNot monotonic
2020-09-29T19:02:50.866180image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
625911148.2%
 
59797218.2%
 
4379237.1%
 
8279945.2%
 
7187933.5%
 
3144082.7%
 
158431.1%
 
256121.0%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
158431.1%
 
256121.0%
 
3144082.7%
 
4379237.1%
 
59797218.2%
 
ValueCountFrequency (%) 
8279945.2%
 
7187933.5%
 
625911148.2%
 
59797218.2%
 
4379237.1%
 

QE_I52
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.790198351
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:51.059921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.235616234
Coefficient of variation (CV)0.4667064013
Kurtosis-0.998060991
Mean4.790198351
Median Absolute Deviation (MAD)2
Skewness-0.4143290924
Sum2240165
Variance4.997979945
MonotocityNot monotonic
2020-09-29T19:02:51.244833image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
612259722.8%
 
16994213.0%
 
75687210.6%
 
55636410.5%
 
8496719.2%
 
4482379.0%
 
3364556.8%
 
2275185.1%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
16994213.0%
 
2275185.1%
 
3364556.8%
 
4482379.0%
 
55636410.5%
 
ValueCountFrequency (%) 
8496719.2%
 
75687210.6%
 
612259722.8%
 
55636410.5%
 
4482379.0%
 

QE_I53
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.765353166
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:51.452810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.400237193
Coefficient of variation (CV)0.5036850596
Kurtosis-1.187411788
Mean4.765353166
Median Absolute Deviation (MAD)2
Skewness-0.3596123435
Sum2228546
Variance5.761138584
MonotocityNot monotonic
2020-09-29T19:02:51.629681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
611201520.8%
 
18664116.1%
 
86560012.2%
 
75597910.4%
 
5485529.0%
 
4404437.5%
 
3317785.9%
 
2266485.0%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
18664116.1%
 
2266485.0%
 
3317785.9%
 
4404437.5%
 
5485529.0%
 
ValueCountFrequency (%) 
86560012.2%
 
75597910.4%
 
611201520.8%
 
5485529.0%
 
4404437.5%
 

QE_I54
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.13853559
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:51.819297image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.440234816
Coefficient of variation (CV)0.2802811794
Kurtosis1.131582123
Mean5.13853559
Median Absolute Deviation (MAD)1
Skewness-1.194209976
Sum2403067
Variance2.074276325
MonotocityNot monotonic
2020-09-29T19:02:52.015389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
623176443.1%
 
59089016.9%
 
4532309.9%
 
3296775.5%
 
7216584.0%
 
1178223.3%
 
2157112.9%
 
869041.3%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1178223.3%
 
2157112.9%
 
3296775.5%
 
4532309.9%
 
59089016.9%
 
ValueCountFrequency (%) 
869041.3%
 
7216584.0%
 
623176443.1%
 
59089016.9%
 
4532309.9%
 

QE_I55
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.165865508
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:52.200220image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.131680531
Coefficient of variation (CV)0.219068911
Kurtosis1.8250734
Mean5.165865508
Median Absolute Deviation (MAD)1
Skewness-1.295872414
Sum2415848
Variance1.280700825
MonotocityNot monotonic
2020-09-29T19:02:52.400651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
622640342.1%
 
512917524.0%
 
46301811.7%
 
3260424.8%
 
291091.7%
 
761821.2%
 
159931.1%
 
817340.3%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
159931.1%
 
291091.7%
 
3260424.8%
 
46301811.7%
 
512917524.0%
 
ValueCountFrequency (%) 
817340.3%
 
761821.2%
 
622640342.1%
 
512917524.0%
 
46301811.7%
 

QE_I56
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.979110714
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:52.585441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.377716259
Coefficient of variation (CV)0.2766992617
Kurtosis0.7676469129
Mean4.979110714
Median Absolute Deviation (MAD)1
Skewness-0.9795500194
Sum2328511
Variance1.898102089
MonotocityNot monotonic
2020-09-29T19:02:52.791554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
620312737.8%
 
511242520.9%
 
46977713.0%
 
3363266.8%
 
2174873.3%
 
1136522.5%
 
779841.5%
 
868781.3%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1136522.5%
 
2174873.3%
 
3363266.8%
 
46977713.0%
 
511242520.9%
 
ValueCountFrequency (%) 
868781.3%
 
779841.5%
 
620312737.8%
 
511242520.9%
 
46977713.0%
 

QE_I57
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.241333373
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:53.002126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.036127583
Coefficient of variation (CV)0.1976839688
Kurtosis2.305407774
Mean5.241333373
Median Absolute Deviation (MAD)0
Skewness-1.405879255
Sum2451141
Variance1.073560369
MonotocityNot monotonic
2020-09-29T19:02:53.186469image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
623919044.5%
 
513455925.0%
 
45739110.7%
 
3215454.0%
 
267981.3%
 
138490.7%
 
730300.6%
 
812940.2%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
138490.7%
 
267981.3%
 
3215454.0%
 
45739110.7%
 
513455925.0%
 
ValueCountFrequency (%) 
812940.2%
 
730300.6%
 
623919044.5%
 
513455925.0%
 
45739110.7%
 

QE_I58
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.287403562
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:53.386504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.15966876
Coefficient of variation (CV)0.2193266971
Kurtosis2.401130806
Mean5.287403562
Median Absolute Deviation (MAD)0
Skewness-1.424287455
Sum2472686
Variance1.344831632
MonotocityNot monotonic
2020-09-29T19:02:53.571343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
626217248.8%
 
510457819.5%
 
4512649.5%
 
3228544.3%
 
299281.8%
 
166561.2%
 
852061.0%
 
749980.9%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
166561.2%
 
299281.8%
 
3228544.3%
 
4512649.5%
 
510457819.5%
 
ValueCountFrequency (%) 
852061.0%
 
749980.9%
 
626217248.8%
 
510457819.5%
 
4512649.5%
 

QE_I59
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.999589442
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:53.771594image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.377580436
Coefficient of variation (CV)0.2755387121
Kurtosis0.8938001714
Mean4.999589442
Median Absolute Deviation (MAD)1
Skewness-1.150458486
Sum2338088
Variance1.897727857
MonotocityNot monotonic
2020-09-29T19:02:53.965242image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
621359639.7%
 
510797220.1%
 
46471512.0%
 
3338796.3%
 
2173053.2%
 
1153822.9%
 
7122932.3%
 
825140.5%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1153822.9%
 
2173053.2%
 
3338796.3%
 
46471512.0%
 
510797220.1%
 
ValueCountFrequency (%) 
825140.5%
 
7122932.3%
 
621359639.7%
 
510797220.1%
 
46471512.0%
 

QE_I60
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.954470808
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:54.172548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.544319194
Coefficient of variation (CV)0.3117021483
Kurtosis0.436331488
Mean4.954470808
Median Absolute Deviation (MAD)1
Skewness-0.9031036028
Sum2316988
Variance2.384921774
MonotocityNot monotonic
2020-09-29T19:02:54.372384image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
620211637.6%
 
59720618.1%
 
46335611.8%
 
3363566.8%
 
1225084.2%
 
2202833.8%
 
7139522.6%
 
8118792.2%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1225084.2%
 
2202833.8%
 
3363566.8%
 
46335611.8%
 
59720618.1%
 
ValueCountFrequency (%) 
8118792.2%
 
7139522.6%
 
620211637.6%
 
59720618.1%
 
46335611.8%
 

QE_I61
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.912283815
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:54.581073image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.427219777
Coefficient of variation (CV)0.2905409847
Kurtosis0.6175779084
Mean4.912283815
Median Absolute Deviation (MAD)1
Skewness-0.9727576009
Sum2297259
Variance2.036956291
MonotocityNot monotonic
2020-09-29T19:02:54.920512image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
620219637.6%
 
511143420.7%
 
46835612.7%
 
3375537.0%
 
2203013.8%
 
1169973.2%
 
874981.4%
 
733210.6%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1169973.2%
 
2203013.8%
 
3375537.0%
 
46835612.7%
 
511143420.7%
 
ValueCountFrequency (%) 
874981.4%
 
733210.6%
 
620219637.6%
 
511143420.7%
 
46835612.7%
 

QE_I62
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.942767761
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:55.121498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.569084726
Coefficient of variation (CV)0.3174506272
Kurtosis0.3161114424
Mean4.942767761
Median Absolute Deviation (MAD)1
Skewness-0.7240775957
Sum2311515
Variance2.462026877
MonotocityNot monotonic
2020-09-29T19:02:55.314890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
618997235.3%
 
510185819.0%
 
46666412.4%
 
3382897.1%
 
2221294.1%
 
1207613.9%
 
8199703.7%
 
780131.5%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1207613.9%
 
2221294.1%
 
3382897.1%
 
46666412.4%
 
510185819.0%
 
ValueCountFrequency (%) 
8199703.7%
 
780131.5%
 
618997235.3%
 
510185819.0%
 
46666412.4%
 

QE_I63
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.006192586
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:55.506328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.544688485
Coefficient of variation (CV)0.3085555457
Kurtosis0.4331384758
Mean5.006192586
Median Absolute Deviation (MAD)1
Skewness-0.715995507
Sum2341176
Variance2.386062517
MonotocityNot monotonic
2020-09-29T19:02:55.706598image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
619145835.6%
 
510431219.4%
 
46503212.1%
 
3370446.9%
 
8222864.1%
 
2204323.8%
 
1181983.4%
 
788941.7%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1181983.4%
 
2204323.8%
 
3370446.9%
 
46503212.1%
 
510431219.4%
 
ValueCountFrequency (%) 
8222864.1%
 
788941.7%
 
619145835.6%
 
510431219.4%
 
46503212.1%
 

QE_I64
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.137622526
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:55.907304image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.296522757
Coefficient of variation (CV)0.2523585083
Kurtosis1.382784874
Mean5.137622526
Median Absolute Deviation (MAD)1
Skewness-1.179082704
Sum2402640
Variance1.680971259
MonotocityNot monotonic
2020-09-29T19:02:56.092371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
622507641.9%
 
511161120.8%
 
45898411.0%
 
3294985.5%
 
2139672.6%
 
7126432.4%
 
1105362.0%
 
853411.0%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1105362.0%
 
2139672.6%
 
3294985.5%
 
45898411.0%
 
511161120.8%
 
ValueCountFrequency (%) 
853411.0%
 
7126432.4%
 
622507641.9%
 
511161120.8%
 
45898411.0%
 

QE_I65
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.157194605
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:56.293105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.589631834
Coefficient of variation (CV)0.3082357668
Kurtosis0.783050639
Mean5.157194605
Median Absolute Deviation (MAD)1
Skewness-1.099192143
Sum2411793
Variance2.526929367
MonotocityNot monotonic
2020-09-29T19:02:56.478119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
621114739.3%
 
58597616.0%
 
4485359.0%
 
7416847.8%
 
3273455.1%
 
1258244.8%
 
2159863.0%
 
8111592.1%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1258244.8%
 
2159863.0%
 
3273455.1%
 
4485359.0%
 
58597616.0%
 
ValueCountFrequency (%) 
8111592.1%
 
7416847.8%
 
621114739.3%
 
58597616.0%
 
4485359.0%
 

QE_I66
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.284339343
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:56.678757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.214272524
Coefficient of variation (CV)0.2297870074
Kurtosis2.165661899
Mean5.284339343
Median Absolute Deviation (MAD)0
Skewness-1.268094281
Sum2471253
Variance1.474457762
MonotocityNot monotonic
2020-09-29T19:02:56.879213image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
624943146.4%
 
510576819.7%
 
4532939.9%
 
3234844.4%
 
795681.8%
 
293771.7%
 
885341.6%
 
182011.5%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
182011.5%
 
293771.7%
 
3234844.4%
 
4532939.9%
 
510576819.7%
 
ValueCountFrequency (%) 
885341.6%
 
795681.8%
 
624943146.4%
 
510576819.7%
 
4532939.9%
 

QE_I67
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.965848829
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:57.057618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.590164714
Coefficient of variation (CV)0.3202201212
Kurtosis0.2943529476
Mean4.965848829
Median Absolute Deviation (MAD)1
Skewness-0.8377139631
Sum2322309
Variance2.528623818
MonotocityNot monotonic
2020-09-29T19:02:57.279845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
619472836.2%
 
59256617.2%
 
46413111.9%
 
3364116.8%
 
1236284.4%
 
2211283.9%
 
7210423.9%
 
8140222.6%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1236284.4%
 
2211283.9%
 
3364116.8%
 
46413111.9%
 
59256617.2%
 
ValueCountFrequency (%) 
8140222.6%
 
7210423.9%
 
619472836.2%
 
59256617.2%
 
46413111.9%
 

QE_I68
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.976961698
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-09-29T19:02:57.473612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.534716755
Coefficient of variation (CV)0.3083641885
Kurtosis0.4894133111
Mean4.976961698
Median Absolute Deviation (MAD)1
Skewness-0.9168250342
Sum2327506
Variance2.355355519
MonotocityNot monotonic
2020-09-29T19:02:57.658382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
621570240.1%
 
59325217.4%
 
45954111.1%
 
3363406.8%
 
2218234.1%
 
1208253.9%
 
8141682.6%
 
760051.1%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1208253.9%
 
2218234.1%
 
3363406.8%
 
45954111.1%
 
59325217.4%
 
ValueCountFrequency (%) 
8141682.6%
 
760051.1%
 
621570240.1%
 
59325217.4%
 
45954111.1%
 

QE_I69
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing295777
Missing (%)55.0%
Memory size4.1 MiB
A
156662 
D
38490 
B
32218 
C
 
14289
ValueCountFrequency (%) 
A15666229.1%
 
D384907.2%
 
B322186.0%
 
C142892.7%
 
(Missing)29577755.0%
 
2020-09-29T19:02:57.881059image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I70
Categorical

MISSING

Distinct10
Distinct (%)< 0.1%
Missing295777
Missing (%)55.0%
Memory size4.1 MiB
A
89117 
B
49912 
C
31627 
J
23544 
E
14949 
Other values (5)
32510 
ValueCountFrequency (%) 
A8911716.6%
 
B499129.3%
 
C316275.9%
 
J235444.4%
 
E149492.8%
 
D97721.8%
 
F76821.4%
 
I66221.2%
 
H54671.0%
 
G29670.6%
 
(Missing)29577755.0%
 
2020-09-29T19:02:58.097368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I71
Categorical

MISSING

Distinct9
Distinct (%)< 0.1%
Missing295777
Missing (%)55.0%
Memory size4.1 MiB
I
94865 
B
37307 
G
31298 
H
26192 
A
20675 
Other values (4)
31322 
ValueCountFrequency (%) 
I9486517.7%
 
B373076.9%
 
G312985.8%
 
H261924.9%
 
A206753.8%
 
E201323.7%
 
F55941.0%
 
C33380.6%
 
D22580.4%
 
(Missing)29577755.0%
 
2020-09-29T19:02:58.321660image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I72
Categorical

MISSING

Distinct9
Distinct (%)< 0.1%
Missing295777
Missing (%)55.0%
Memory size4.1 MiB
I
96017 
A
53178 
B
37548 
C
22570 
D
20253 
Other values (4)
12093 
ValueCountFrequency (%) 
I9601717.9%
 
A531789.9%
 
B375487.0%
 
C225704.2%
 
D202533.8%
 
F43280.8%
 
H40390.8%
 
E22300.4%
 
G14960.3%
 
(Missing)29577755.0%
 
2020-09-29T19:02:58.529768image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I73
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing295777
Missing (%)55.0%
Memory size4.1 MiB
A
198958 
D
30392 
F
 
7170
E
 
1971
B
 
1696
ValueCountFrequency (%) 
A19895837.0%
 
D303925.7%
 
F71701.3%
 
E19710.4%
 
B16960.3%
 
C14720.3%
 
(Missing)29577755.0%
 
2020-09-29T19:02:58.764385image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I74
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing295777
Missing (%)55.0%
Memory size4.1 MiB
A
118796 
B
77866 
D
19667 
C
18088 
E
 
7242
ValueCountFrequency (%) 
A11879622.1%
 
B7786614.5%
 
D196673.7%
 
C180883.4%
 
E72421.3%
 
(Missing)29577755.0%
 
2020-09-29T19:02:58.983999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I75
Categorical

MISSING

Distinct9
Distinct (%)< 0.1%
Missing295777
Missing (%)55.0%
Memory size4.1 MiB
A
66530 
B
62832 
D
55811 
C
38389 
I
7436 
Other values (4)
10661 
ValueCountFrequency (%) 
A6653012.4%
 
B6283211.7%
 
D5581110.4%
 
C383897.1%
 
I74361.4%
 
F70801.3%
 
E15710.3%
 
H13800.3%
 
G6300.1%
 
(Missing)29577755.0%
 
2020-09-29T19:02:59.200239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I76
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing295777
Missing (%)55.0%
Memory size4.1 MiB
D
53874 
C
50198 
A
48517 
B
44488 
E
37098 
ValueCountFrequency (%) 
D5387410.0%
 
C501989.3%
 
A485179.0%
 
B444888.3%
 
E370986.9%
 
F74841.4%
 
(Missing)29577755.0%
 
2020-09-29T19:02:59.555631image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I77
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing295777
Missing (%)55.0%
Memory size4.1 MiB
A
152673 
C
31858 
E
26208 
B
21369 
D
 
9551
ValueCountFrequency (%) 
A15267328.4%
 
C318585.9%
 
E262084.9%
 
B213694.0%
 
D95511.8%
 
(Missing)29577755.0%
 
2020-09-29T19:02:59.773966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I78
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing295777
Missing (%)55.0%
Memory size4.1 MiB
B
113944 
A
95971 
C
28275 
D
 
3469
ValueCountFrequency (%) 
B11394421.2%
 
A9597117.9%
 
C282755.3%
 
D34690.6%
 
(Missing)29577755.0%
 
2020-09-29T19:02:59.994932image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I79
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing295777
Missing (%)55.0%
Memory size4.1 MiB
B
112567 
A
83486 
C
41948 
D
 
3658
ValueCountFrequency (%) 
B11256720.9%
 
A8348615.5%
 
C419487.8%
 
D36580.7%
 
(Missing)29577755.0%
 
2020-09-29T19:03:00.217572image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I80
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing295777
Missing (%)55.0%
Memory size4.1 MiB
A
121279 
B
84636 
C
25404 
D
 
10340
ValueCountFrequency (%) 
A12127922.6%
 
B8463615.7%
 
C254044.7%
 
D103401.9%
 
(Missing)29577755.0%
 
2020-09-29T19:03:00.435877image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I81
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing295777
Missing (%)55.0%
Memory size4.1 MiB
A
130630 
B
80208 
C
20431 
D
 
10390
ValueCountFrequency (%) 
A13063024.3%
 
B8020814.9%
 
C204313.8%
 
D103901.9%
 
(Missing)29577755.0%
 
2020-09-29T19:03:00.665207image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%